US20100135178A1 - Wireless position determination using adjusted round trip time measurements - Google Patents
Wireless position determination using adjusted round trip time measurements Download PDFInfo
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- US20100135178A1 US20100135178A1 US12/622,289 US62228909A US2010135178A1 US 20100135178 A1 US20100135178 A1 US 20100135178A1 US 62228909 A US62228909 A US 62228909A US 2010135178 A1 US2010135178 A1 US 2010135178A1
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- wireless access
- access point
- mobile station
- distance
- wireless
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/10—Position of receiver fixed by co-ordinating a plurality of position lines defined by path-difference measurements, e.g. omega or decca systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/14—Determining absolute distances from a plurality of spaced points of known location
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/74—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
- G01S13/76—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems wherein pulse-type signals are transmitted
- G01S13/765—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems wherein pulse-type signals are transmitted with exchange of information between interrogator and responder
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
Definitions
- aspects of this disclosure generally relate to wireless communication systems, and more specifically, to improved position determination methods and apparatuses for use with and/or by wireless mobile devices.
- Mobile communications networks are in the process of offering increasingly sophisticated capabilities associated with the motion and/or position location sensing of a mobile device.
- New software applications such as, for example, those related to personal productivity, collaborative communications, social networking, and/or data acquisition, may utilize motion and/or position sensors to provide new features and services to consumers.
- some regulatory requirements of various jurisdictions may require a network operator to report the location of a mobile device when the mobile device places a call to an emergency service, such as a 911 call in the United States.
- position location capability can be provided by various time and/or phase measurement techniques.
- one position determination approach used is Advanced Forward Link Trilateration (AFLT).
- AFLT Advanced Forward Link Trilateration
- a mobile device may compute its position from phase measurements of pilot signals transmitted from a plurality of base stations. Improvements to AFLT have been realized by utilizing hybrid position location techniques, where the mobile station may employ a Satellite Positioning System (SPS) receiver.
- SPS Satellite Positioning System
- the SPS receiver may provide position information independent of the information derived from the signals transmitted by the base stations.
- position accuracy can be improved by combining measurements derived from both SPS and AFLT systems using conventional techniques.
- Utilizing RTT measurement techniques to accurately determine position typically involves knowledge of time delays incurred by the wireless signals as they propagate through various network devices comprising the network. Such delays may be spatially variant due to, for example, multipath and/or signal interference. Moreover, such processing delays may change over time based upon the type of network device and/or the network device's current networking load. In practice, when employing conventional RTT positioning techniques, estimating processing delay times may involve hardware changes in the wireless access points, and/or time-consuming pre-deployment fingerprinting and/or calibration of the operational environment.
- a method may include measuring a round trip time (RTT) to each of a plurality of wireless access points, and estimating a first distance to each wireless access point based upon the round trip time delay and an initial processing time associated with each wireless access point.
- the method may further include estimating a second distance to each wireless access point based upon supplemental information, combining the first and second distance estimates to each wireless access point, and calculating the position of the mobile station based upon the combined distance estimates.
- an apparatus for wireless position determination may include a wireless transceiver, a processor coupled to the wireless transceiver, and a memory coupled to the processor.
- the memory may store executable instructions and data for causing the processor to measure a round trip time (RTT) to each of a plurality of wireless access points, estimate a first distance to each wireless access point based upon the round trip time delay and an initial processing time associated with each wireless access point, estimate a second distance to each wireless access point based upon supplemental information, combine the first and second distance estimates to each wireless access point, and calculate the position of the mobile station based upon the combined distance estimates.
- RTT round trip time
- a method for wirelessly determining a position of a mobile station using signals provided by a plurality of wireless access points may include measuring a distance to each wireless access point based upon a wireless signal model and calculating a position of the mobile station based upon the measured distance. The method may further include determining a computed distance to each wireless access point based upon the calculated position of the mobile station, updating the wireless signal model based upon the measured and computed distances to each wireless access point, and determining whether the wireless signal model has converged.
- an apparatus for wireless position determination of a mobile station using signals provided by a plurality of wireless access points may include a wireless transceiver, a processor coupled to the wireless transceiver, and a memory coupled to the processor.
- the memory may store executable instructions and data for causing the processor to measure a distance to each wireless access point based upon a wireless signal model, calculate a position of the mobile station based upon the measured distance, determine a computed distance to each wireless access point based upon the calculated position of the mobile station, update the wireless signal model based upon the measured and computed distances to each wireless access point, and determine whether the wireless signal model has converged.
- a method for wirelessly determining a position of a mobile station may include measuring a round trip time delay to each of a plurality of wireless access points and estimating an initial processing time for each of the wireless access points. The method may further include calculating the position of the mobile station based upon the measured round trip time delays and estimated processing times, and updating the estimated processing time for each of the wireless access points based upon the calculated position of the mobile station.
- an apparatus for wirelessly determining a position of a mobile station may include a wireless transceiver, a processor coupled to the wireless transceiver, and a memory coupled to the processor.
- the memory may store executable instructions and data for causing the processor to measure a round trip time delay to each of a plurality of wireless access points, estimate an initial processing time for each of the wireless access points, calculate the position of the mobile station based upon the measured round trip time delays and estimated processing times, and update the estimated processing time for each of the wireless access points based upon the calculated position of the mobile station.
- Various embodiments may benefit from having wireless access points which do not require knowledge of their processing times and/or require providing this information to mobile stations using beacons, ranging packets, and/or look-up tables. Such advantages can reduce the burden on wireless access point manufacturers, which may be able to avoid modifications their hardware and/or protocols. Moreover, various embodiments may permit reducing the complexity of maintaining a central database of the processing time values for different manufactures of wireless access points.
- FIG. 1 is a diagram of an exemplary operating environment for a mobile station consistent with embodiments of the disclosure.
- FIG. 2 is a block diagram illustrating various components of an exemplary mobile station.
- FIG. 3 is diagram illustrating an exemplary technique for determining a position of a mobile station using information obtained from a plurality of wireless access points.
- FIG. 4 is a diagram showing exemplary timings within a round trip time (RTT) occurring during a wireless probe request and a response.
- RTT round trip time
- FIG. 5 is a graph illustrating an exemplary relationship of a received signal strength indication (RSSI) and the distance between a mobile station and a wireless access point.
- RSSI received signal strength indication
- FIG. 6 is a flowchart showing an exemplary process for combining wireless signal models to improve the position determination of a mobile station.
- FIG. 7 is flowchart of another embodiment of the process illustrated in FIG. 6 , where the distances based upon the measured signal strength (RSSI) and RTT may be combined to improve the position of the mobile station.
- RSSI measured signal strength
- FIG. 8 shows a flowchart illustrating an exemplary method for adaptively improving a wireless signal model.
- FIG. 9 is a graph of exemplary ranging models used to determine the distance between a mobile station and a wireless access point based upon RSSI.
- FIG. 10 is a diagram of an exemplary indoor environment which may be modeled to improve distance estimates between wireless access points and a mobile station based upon RSSI.
- FIG. 11 is a flowchart illustrating another exemplary method which uses both RSSI and RTT ranging models for position determination, wherein the RTT model is adaptive model.
- FIG. 1 is a diagram of an exemplary operating environment 100 for a mobile station 108 .
- Embodiments of the invention are directed to a mobile station 108 which may utilize a combination of range models and/or for determining position.
- Other embodiments may adaptively change the ranging models, such as, for example, using round trip time measurements (RTTs) that are adjusted to accommodate for processing delays introduced by wireless access points.
- RTTs round trip time measurements
- the processing delays may vary among different access points and may also change over time.
- RTSI received signal strength indicator
- the base station may determine position and/or calibrate out the effects of the processing delays introduced by the wireless access points using iterative techniques.
- RSSI received signal strength indicator
- the operating environment 100 may contain one or more different types of wireless communication systems and/or wireless positioning systems.
- a Satellite Positioning System (SPS) 102 may be used as an independent source of position information for the mobile station 108 .
- the mobile station 108 may include one or more dedicated SPS receivers specifically designed to receive signals for deriving geo-location information from the SPS satellites.
- the operating environment 100 may also include a plurality of one or more types Wide Area Network Wireless Access Points (WAN-WAPs) 104 , which may be used for wireless voice and/or data communication, and as another source of independent position information for mobile station 108 .
- the WAN-WAPs 104 may be part of wide area wireless network (WWAN), which may include cellular base stations at known locations, and/or other wide area wireless systems, such as, for example, WiMAX (e.g., 802.16).
- WWAN wide area wireless network
- the WWAN may include other known network components which are not shown in FIG. 1 for simplicity.
- each WAN-WAPs 104 a - 104 c within the WWAN may operate from fixed positions, and provide network coverage over large metropolitan and/or regional areas.
- the operating environment 100 may further include Local Area Network Wireless Access Points (LAN-WAPs) 106 , may be used for wireless voice and/or data communication, as well as another independent source of position data.
- LAN-WAPs can be part of a Wireless Local Area Network (WLAN), which may operate in buildings and perform communications over smaller geographic regions than a WWAN.
- WLAN-WAPs 106 may be part of, for example, WiFi networks (802.11x), cellular piconets and/or femtocells, Bluetooth Networks, etc.
- the mobile station 108 may derive position information from any one or a combination of the SPS satellites 102 , the WAN-WAPs 104 , and/or the LAN-WAPs 106 .
- Each of the aforementioned systems can provide an independent estimate of the position for mobile station 108 using different techniques.
- the mobile station may combine the solutions derived from each of the different types of access points to improve the accuracy of the position data.
- the mobile station may utilize a receiver specifically designed for use with the SPS that extracts position, using conventional techniques, from a plurality of signals transmitted by SPS satellites 102 .
- the method and apparatus described herein may be used with various satellite positioning systems, which typically include a system of transmitters positioned to enable entities to determine their location on or above the Earth based, at least in part, on signals received from the transmitters.
- Such a transmitter typically transmits a signal marked with a repeating pseudo-random noise (PN) code of a set number of chips and may be located on ground based control stations, user equipment and/or space vehicles.
- PN pseudo-random noise
- such transmitters may be located on Earth orbiting satellite vehicles (SVs).
- SVs Earth orbiting satellite vehicles
- a SV in a constellation of Global Navigation Satellite System such as Global Positioning System (GPS), Galileo, Glonass or Compass may transmit a signal marked with a PN code that is distinguishable from PN codes transmitted by other SVs in the constellation (e.g., using different PN codes for each satellite as in GPS or using the same code on different frequencies as in Glonass).
- GNSS Global Navigation Satellite System
- GPS Global Positioning System
- Glonass Compass
- PN codes e.g., using different PN codes for each satellite as in GPS or using the same code on different frequencies as in Glonass.
- the techniques presented herein are not restricted to global systems (e.g., GNSS) for SPS.
- the techniques provided herein may be applied to or otherwise enabled for use in various regional systems, such as, e.g., Quasi-Zenith Satellite System (QZSS) over Japan, Indian Regional Navigational Satellite System (IRNSS) over India, Beidou over China, etc., and/or various augmentation systems (e.g., an Satellite Based Augmentation System (SBAS)) that may be associated with or otherwise enabled for use with one or more global and/or regional navigation satellite systems.
- QZSS Quasi-Zenith Satellite System
- IRNSS Indian Regional Navigational Satellite System
- SBAS Satellite Based Augmentation System
- an SBAS may include an augmentation system(s) that provides integrity information, differential corrections, etc., such as, e.g., Wide Area Augmentation System (WAAS), European Geostationary Navigation Overlay Service (EGNOS), Multi-functional Satellite Augmentation System (MSAS), GPS Aided Geo Augmented Navigation or GPS and Geo Augmented Navigation system (GAGAN), and/or the like.
- WAAS Wide Area Augmentation System
- GNOS European Geostationary Navigation Overlay Service
- MSAS Multi-functional Satellite Augmentation System
- GPS Aided Geo Augmented Navigation or GPS and Geo Augmented Navigation system (GAGAN), and/or the like such as, e.g., a Global Navigation Satellite Navigation System (GNOS), and/or the like.
- SPS may include any combination of one or more global and/or regional navigation satellite systems and/or augmentation systems, and SPS signals may include SPS, SPS-like, and/or other signals associated with such one or more SPS.
- the disclosed method and apparatus may be used with positioning determination systems that utilize pseudolites or a combination of satellites and pseudolites.
- Pseudolites are ground-based transmitters that broadcast a PN code or other ranging code (similar to a GPS or CDMA cellular signal) modulated on an L-band (or other frequency) carrier signal, which may be synchronized with GPS time. Each such transmitter may be assigned a unique PN code so as to permit identification by a remote receiver.
- Pseudolites are useful in situations where GPS signals from an orbiting satellite might be unavailable, such as in tunnels, mines, buildings, urban canyons or other enclosed areas. Another implementation of pseudolites is known as radio-beacons.
- tellite is intended to include pseudolites, equivalents of pseudolites, and possibly others.
- SPS signals is intended to include SPS-like signals from pseudolites or equivalents of pseudolites.
- each WAN-WAPs 104 a - 104 c may take the form of base stations within a digital cellular network, and the mobile station 108 may include a cellular transceiver and processor that can exploit the base station signals to derive position. It should be understood that digital cellular network may include additional base stations or other resources show in FIG. 1 . While WAN-WAPs 104 may actually be moveable or otherwise capable of being relocated, for illustration purposes it will be assumed that they are essentially arranged in a fixed position.
- the mobile station 108 may perform position determination using known time-of-arrival techniques such as, for example, Advanced Forward Link Trilateration (AFLT).
- time-of-arrival techniques such as, for example, Advanced Forward Link Trilateration (AFLT).
- each WAN-WAP 104 a - 104 c may take the form of WiMax wireless networking base station.
- the mobile station 108 may determine its position using time-of-arrival (TOA) techniques from signals provided by the WAN-WAPs 104 .
- TOA time-of-arrival
- the mobile station 108 may determine positions either in a stand alone mode, or using the assistance of a positioning server 110 and network 112 using TOA techniques, as will be described in more detail below.
- embodiments of the disclosure include having the mobile station 108 determine position information using WAN-WAPs 104 which are different types.
- some WAN-WAPs 104 may be cellular base stations, and other WAN-WAPs may be WiMax base stations.
- the mobile station 108 may be able to exploit the signals from each different type of WAN-WAP, and further combine the derived position solutions to improve accuracy.
- the mobile station 108 may utilize time of arrival techniques with the assistance of the positioning server 110 and the network 112 .
- the positioning server 110 may communicate to the mobile station through network 112 .
- Network 112 may include a combination of wired and wireless networks which incorporate the LAN-WAPs 106 .
- each LAN-WAP 106 a - 106 e may be, for example, a WiFi wireless access point, which is not necessarily set in a fixed position and can change location.
- the position of each LAN-WAP 106 a - 106 e may be stored in the positioning server 110 in a common coordinate system.
- the position of the mobile station 108 may be determined by having the mobile station 108 receive signals from each LAN-WAP 106 a - 106 e. Each signal may be associated with its originating LAN-WAP based upon some form of identifying information that may be included in the received signal (such as, for example, a MAC address). The mobile station 108 may then derive the time delays associated with each of the received signals. The mobile station 108 may then form a message which can include the time delays and the identifying information of each of the LAN-WAPs, and send the message via network 112 to the positioning server 110 .
- the positioning server may then determine a position, using the stored locations of the relevant LAN-WAPs 106 , of the mobile station 108 .
- the positioning server 110 may generate and provide a Location Configuration Information (LCI) message to the base station that includes a pointer to the mobile station's position in a local coordinate system.
- the LCI message may also include other points of interest in relation to the location of the mobile station 108 .
- the positioning server may take into account the different delays which can be introduced by elements within the wireless network.
- a WWAN may be a Code Division Multiple Access (CDMA) network, a Time Division Multiple Access (TDMA) network, a Frequency Division Multiple Access (FDMA) network, an Orthogonal Frequency Division Multiple Access (OFDMA) network, a Single-Carrier Frequency Division Multiple Access (SC-FDMA) network, a WiMax (IEEE 802.16) and so on.
- CDMA Code Division Multiple Access
- TDMA Time Division Multiple Access
- FDMA Frequency Division Multiple Access
- OFDMA Orthogonal Frequency Division Multiple Access
- SC-FDMA Single-Carrier Frequency Division Multiple Access
- a CDMA network may implement one or more radio access technologies (RATs) such as cdma2000, Wideband-CDMA (W-CDMA), and so on.
- Cdma2000 includes IS-95, IS-2000, and IS-856 standards.
- a TDMA network may implement Global System for Mobile Communications (GSM), Digital Advanced Mobile Phone System (D-AMPS), or some other RAT.
- GSM and W-CDMA are described in documents from a consortium named “3rd Generation Partnership Project” (3GPP).
- Cdma2000 is described in documents from a consortium named “3rd Generation Partnership Project 2” (3GPP2).
- 3GPP and 3GPP2 documents are publicly available.
- a WLAN may be an IEEE 802.11x network
- a WPAN may be a Bluetooth network, an IEEE 802.15x, or some other type of network. The techniques may also be used for any combination of WWAN, WLAN and/or WPAN.
- FIG. 2 is a block diagram illustrating various components of an exemplary mobile station 200 .
- the various features and functions illustrated in the box diagram of FIG. 2 are connected together using a common bus which is meant to represent that these various features and functions are operatively coupled together.
- Those skilled in the art will recognize that other connections, mechanisms, features, functions, or the like, may be provided and adapted as necessary to operatively couple and configure an actual portable wireless device.
- one or more of the features or functions illustrated in the example of FIG. 2 may be further subdivided or two or more of the features or functions illustrated in FIG. 2 may be combined.
- the mobile station may include one or more wide area network transceiver(s) 204 that may be connected to one or more antennas 202 .
- the wide area network transceiver 204 comprises suitable devices, hardware, and/or software for communicating with and/or detecting signals to/from WAN-WAPs 104 , and/or directly with other wireless devices within a network.
- the wide area network transceiver 204 may comprise a CDMA communication system suitable for communicating with a CDMA network of wireless base stations; however in other aspects, the wireless communication system may comprise another type of cellular telephony network, such as, for example, TDMA or GSM. Additionally, any other type of wireless networking technologies may be used, for example, WiMax (802.16), etc.
- the mobile station may also include one or more local area network transceivers 206 that may be connected to one or more antennas 202 .
- the local area network transceiver 206 comprises suitable devices, hardware, and/or software for communicating with and/or detecting signals to/from LAN-WAPs 106 , and/or directly with other wireless devices within a network.
- the local area network transceiver 206 may comprise a WiFi (802.11x) communication system suitable for communicating with one or more wireless access points; however in other aspects, the local area network transceiver 206 comprise another type of local area network, personal area network, (e.g., Bluetooth). Additionally, any other type of wireless networking technologies may be used, for example, Ultra Wide Band, ZigBee, wireless USB etc.
- wireless access point may be used to refer to LAN-WAPs 106 and/or WAN-WAPs 104 .
- WAP wireless access point
- embodiments may include a mobile station 200 that can exploit signals from a plurality of LAN-WAPs 106 , a plurality of WAN-WAPs 104 , or any combination of the two.
- the specific type of WAP being utilized by the mobile station 200 may depend upon the environment of operation.
- the mobile station 200 may dynamically select between the various types of WAPs in order to arrive at an accurate position solution.
- An SPS receiver 208 may also be included in mobile station 200 .
- the SPS receiver 208 may be connected to the one or more antennas 202 for receiving satellite signals.
- the SPS receiver 208 may comprise any suitable hardware and/or software for receiving and processing SPS signals.
- the SPS receiver 208 requests information and operations as appropriate from the other systems, and performs the calculations necessary to determine the mobile station's 200 position using measurements obtained by any suitable SPS algorithm.
- a motion sensor 212 may be coupled to processor 210 to provide relative movement and/or orientation information which is independent of motion data derived from signals received by the wide area network transceiver 204 , the local area network transceiver 206 and the SPS receiver 208 .
- motion sensor 212 may utilize an accelerometer (e.g., a MEMS device), a gyroscope, a geomagnetic sensor (e.g., a compass), an altimeter (e.g., a barometric pressure altimeter), and/or any other type of movement detection sensor.
- motion sensor 212 may include a plurality of different types of devices and combine their outputs in order to provide motion information.
- a processor 210 may be connected to the wide area network transceiver 204 , local area network transceiver 206 , the SPS receiver 208 and the motion sensor 212 .
- the processor may include one or more microprocessors, microcontrollers, and/or digital signal processors that provide processing functions, as well as other calculation and control functionality:
- the processor 210 may also include memory 214 for storing data and software instructions for executing programmed functionality within the mobile station.
- the memory 214 may be on-board the processor 210 (e.g., within the same IC package), and/or the memory may be external memory to the processor and functionally coupled over a data bus.
- memory 214 may include and/or otherwise receive a positioning module 216 , an application module 218 , a received signal strength indicator (RSSI) module 220 , and a round trip time (RTT) module 222 .
- RSSI received signal strength indicator
- RTT round trip time
- the application module 218 may be a process running on the processor 210 of the mobile device 200 , which requests position information from the positioning module 216 .
- Applications typically run within an upper layer of the software architectures, and may include Indoor Navigation, Buddy Locator, Shopping and Coupons, Asset Tracking, and location Aware Service Discovery.
- the positioning module 216 may derive the position of the mobile device 200 using information derived from the RTTs measured from signals exchanged with a plurality of WAPs. In order to accurately determine position using RTT techniques, reasonable estimates of processing time delays introduced by each WAP may be used to calibrate/adjust the measured RTTs.
- the measured RTTs may be determined by the RTT module 222 , which can measure the timings of signals exchanged between the mobile station 200 and the WAPs to derive round trip time (RTT) information.
- RTT round trip time
- the RTT values may be passed to the positioning module 216 to assist in determining the position of the mobile device 200 .
- the positioning module 216 may use supplemental information to estimate the processing times of the WAPs.
- the amplitude values of the signals transmitted by the WAPs may be used to provide this information. These amplitude values may be determined in the form of RSSI measurements determined by RSSI module 220 .
- the RSSI module 220 may provide amplitude and statistical information regarding the signals to the position module 216 .
- the position module may then estimate the processing times to calibrate the RTT measurements and accurately determine position.
- the position may then be output to the application module 218 in response to its aforementioned request.
- the positioning module 216 may utilize a parameter database 224 for exchanging operational parameters. Such parameters may include the determined processing times for each WAP, the WAPs positions in a common coordinate frame, various parameters associated with the network, initial processing time estimates, processing time estimates determined previously, etc. Details of these parameters will be provided in subsequent sections below.
- the supplemental information may optionally include auxiliary position and/or motion data which may be determined from other sources.
- the auxiliary position data may be incomplete or noisy, but may be useful as another source of independent information for estimating the processing times of the WAPs.
- mobile device 200 may optionally store auxiliary position/motion data 226 in memory which may be derived from information received other sources as described below.
- supplemental information may include, but not be limited to, information that can be derived or based upon Bluetooth signals, beacons, RFID tags, and/or information derived from map (e.g., receiving coordinates from a digital representation of a geographical map by, for example, a user interacting with a digital map).
- auxiliary position/motion data 226 may be derived from information supplied by motion sensor 212 and/or SPS receiver 208 .
- auxiliary position/motion data 226 may be determined through additional networks using non-RTT techniques (e.g., AFLT within a CDMA network).
- all or part of auxiliary position/motion data 226 may also be provided by way of motion sensor 212 and/or SPS receiver 208 without further processing by processor 210 .
- the auxiliary position/motion data 226 may be directly provided by the motion sensor 212 and/or SPS receiver 208 to the processing unit 210 .
- Position/motion data 226 may also include acceleration data and/or velocity data which may provide direction and speed. In other embodiments, position/motion data 226 may further include directionality data which may only provide direction of movement.
- positioning module 216 and/or application module 218 may be provided in firmware. Additionally, while in this example positioning module 216 and application module 218 are illustrated as being separate features, it is recognized, for example, that such procedures may be combined together as one procedure or perhaps with other procedures, or otherwise further divided into a plurality of sub-procedures.
- Processor 210 may include any form of logic suitable for performing at least the techniques provided herein.
- processor 210 may be operatively configurable based on instructions in memory 214 to selectively initiate one or more routines that exploit motion data for use in other portions of the mobile device.
- the mobile station 200 may include a user interface 250 which provides any suitable interface systems, such as a microphone/speaker 252 , keypad 254 , and display 256 that allows user interaction with the mobile station 200 .
- the microphone/speaker 252 provides for voice communication services using the wide area network transceiver 204 and/or the local area network transceiver 206 .
- the keypad 254 comprises any suitable buttons for user input.
- the display 256 comprises any suitable display, such as, for example, a backlit LCD display, and may further include a touch screen display for additional user input modes.
- mobile station 108 may be any portable or movable device or machine that is configurable to acquire wireless signals transmitted from, and transmit wireless signals to, one or more wireless communication devices or networks. As shown in FIGS. 1 and 2 , the mobile device is representative of such a portable wireless device. Thus, by way of example but not limitation, mobile device 108 may include a radio device, a cellular telephone device, a computing device, a personal communication system (PCS) device, or other like movable wireless communication equipped device, appliance, or machine.
- PCS personal communication system
- mobile station is also intended to include devices which communicate with a personal navigation device (PND), such as by short-range wireless, infrared, wire line connection, or other connection—regardless of whether satellite signal reception, assistance data reception, and/or position-related processing occurs at the device or at the PND.
- PND personal navigation device
- mobile station is intended to include all devices, including wireless communication devices, computers, laptops, etc. which are capable of communication with a server, such as via the Internet, WiFi, or other network, and regardless of whether satellite signal reception, assistance data reception, and/or position-related processing occurs at the device, at a server, or at another device associated with the network. Any operable combination of the above are also considered a “mobile station.”
- wireless device may refer to any type of wireless communication device which may transfer information over a network and also have position determination and/or navigation functionality.
- the wireless device may be any cellular mobile terminal, personal communication system (PCS) device, personal navigation device, laptop, personal digital assistant, or any other suitable mobile device capable of receiving and processing network and/or SPS signals.
- PCS personal communication system
- FIG. 3 A simplified environment is shown in FIG. 3 for illustrating an exemplary technique for determining a position of mobile station 108 .
- the mobile station 108 may communicate wirelessly with a plurality of WAPs 311 using RF signals (e.g., 2.4 GHz) and standardized protocols for the modulation of the RF signals and the exchanging of information packets (e.g., IEEE 802.11).
- RF signals e.g., 2.4 GHz
- standardized protocols for the modulation of the RF signals and the exchanging of information packets e.g., IEEE 802.11.
- the mobile station 108 may determine its position in a predefined reference coordinate system. As shown in FIG.
- the mobile station may specify its position (x, y) using a two-dimensional coordinate system; however, embodiments disclosed herein are not so limited, and may also be applicable to determining positions using a three-dimensional coordinate system, if the extra dimension is desired. Additionally, while three WAPS 311 a - 311 c are shown in FIG. 3 , embodiments may utilize additional WAPs and solve for position using techniques applicable to over-determined systems, which can average out various errors introduced by different noise effects, and thus improve the accuracy of the determined position. In order to determine its position (x, y), the mobile station 108 may first need to determine the network geometry.
- the network geometry may be provided to the mobile station 108 in any manner, such as, for example, providing this information in beacon signals, providing the information using a dedicated server external on an external network, providing the information using uniform resource identifiers, etc.
- d k a distance between the mobile station 108 and WAPs 311 .
- characteristics may include, as will be discussed below, the round trip propagation time of the signals, and/or the strength of the signals (RSSI).
- the distances (d k ) may in part be determined or refined using other sources of information that are not associated with the WAPs.
- other positioning systems such as GPS, may be used to provide a rough estimate of d k .
- GPS signals may be combined with other information to assist in the position determination process.
- Other relative positioning devices may reside in the mobile station 108 which can be used as a basis to provide rough estimates of relative position and/or direction (e.g., on-board accelerometers).
- Sections 1 and 2 below will discuss in more detail the following wireless signal models: 1) exemplary models relating distance and wireless signal round trip time, and 2) exemplary models relating distance and wireless signal strength. As both of the exemplary models relate distance to different signal parameters, they may also be referred to as “ranging” models. One should appreciate that various embodiments of the invention are not limited to these ranging models, and that other wireless signal models may be used.
- Determining the distance between the mobile station 108 and each WAP 311 may involve exploiting time information of the RF signals.
- determining the round trip time (RTT) of signals exchanged between the mobile station 108 and a WAP 311 can be performed and converted to a distance (d k ).
- RTT techniques can measure the time between sending a data packet and receiving a response. These methods utilize calibration to remove any processing delays. In some environments, it may be assumed that the processing delays for the mobile station and the wireless access points are the same. However, such an assumption may not be true in practice.
- FIG. 4 is a diagram showing exemplary timings within a round trip time (RTT) occurring during a wireless probe request and a response.
- the response may take the form of an acknowledgement packet (ACK); however, any type of response packet would be consistent with various embodiments of the invention.
- RTS request to send
- CTS clear to send
- the mobile station 108 may send a directed probe request to WAP 311 k, and then record the time the probe request packet was sent (t TX Packet) as shown on the mobile station (MS) timeline in FIG. 4 .
- t TX Packet time the probe request packet was sent
- MS mobile station
- the mobile station 108 may record the time the ACK packet was received (t RX ACK) as shown on the MS time line. The mobile station may then determine the RTT as the time difference t RX ACK ⁇ t TX Packet.
- the mobile station 108 If the mobile station 108 knows the WAP 311 k processing time ⁇ , it can then estimate the propagation time to the WAP 311 k as (RTT ⁇ )/2, which will correspond to the distance (d k ) between the mobile station 108 and the WAP 311 k. However, since the mobile station 108 typically has no knowledge of the WAP 311 k processing time, the mobile station 108 should obtain an accurate estimate of the processing time ⁇ before it can estimate the distance to the WAP 311 k. Various techniques presented below will describe embodiments where the mobile station 108 processes the collected RSSI and RTT measurements to three or more WAPs 311 to accurately estimate the WAPs 311 processing times to allow the determination of the mobile station's position in space.
- the wireless device 108 does not need to associate with any of the WAPs 311 . Since a directed access probe is considered a unicast packet, the WAP will typically ACK a successful decoding of an access probe packet after a prescribed period of time. The ability to do this ranging without having to associate with the WAPs 311 may greatly reduce the extra overhead involved.
- the round-trip time between the mobile station 108 and WAP k may be analyzed in a ranging model as follows:
- d k is the actual distance between the mobile station 108 and WAP 311 k (ft).
- ⁇ k is the hardware processing time of the k th WAP (ns).
- ⁇ MS is the hardware processing time at the mobile station 108 (ns).
- the processing delay can be calibrated out the by the mobile station 108 . Accordingly, it can be set to be zero.
- n k n z,k +n MS,k +n AP,k , which is the error in the RTT measurement (ns).
- This error is the sum of the errors due to unknown WAP height, mobile station timing errors, and WAP timing errors.
- the velocity of light may be approximated as unity to simplify the model and reduce computation time by avoiding multiply operations.
- the overall noise n k may be the sum of the WAP height, mobile station timing, and WAP timing errors listed above. After combining all these errors, the resulting probability density function may be very close to Gaussian. Thus, the noise may be modeled as Gaussian with the distance-dependent mean and standard deviation.
- the distance between each WAP 311 and the mobile station 108 may also be estimated using information in addition to RTT for obtaining an estimate of the processing times explained above.
- This information is generally referred to herein as supplemental information.
- One form of supplemental information may take the form of the measured signal strength (RSSI) associated with the ACK packets received from each WAP 311 .
- FIG. 5 is a graph illustrating an exemplary relationship of RSSI and the distance between a mobile station and a wireless access point.
- the mobile station 108 may utilize an approximate ranging model of distance, and variance of the distance, as a function of the received signal strength (RSSI).
- RSSI received signal strength
- This model may be used when the mobile station 108 is initially trying to learn the WAP processing delays.
- the RSSI model can be extremely simple, without the need for extensive pre-deployment fingerprinting.
- the model may assume that the only RSSI information known to the mobile station is the approximate maximum distance d max , in feet, as a function of RSSI in dBm. Based on initial propagation simulations for an indoor environment with WAPs having a maximum range of 225 feet, this function is provided below in Eq. 2, which is graphed in FIG. 5 .
- the mobile station 108 may convert any measured RSSI to a distance estimate that may be modeled as normally distributed with the following relationships in Eqs. 3 and 4:
- the mobile station could also model the minimum distance as a function of signal strength.
- the minimum distance for 2-D positioning, it is possible that a mobile station is close to a WAP in the X-Y plane (the distance utilized for positioning purposes), but sees arbitrary signal strength because of distance and obstacles in the Z-dimension.
- the simple RSSI model takes the minimum distance vs. signal strength as 0 ft for all RSSI.
- the mobile device 108 may estimate distances to three or more wireless access points using the two or more ranging models. Each wireless access point has positions which are known to the mobile device by providing the network geometry information using techniques mentioned above. Using these distance estimates and the location of the wireless access points 311 , the mobile station 108 can determine its position using known positioning techniques.
- FIG. 6 is a flowchart showing an exemplary method 600 for combining ranging models to improve the position determination of the mobile station 108 .
- the method may be performed at the mobile station 108 on processor 210 using various modules and data stored in memory 214 .
- the parameters/models may include:
- parameters 1-3 above may be obtained from annotations from a map, as described above.
- parameters 2 and 3 may be learned by the mobile station 108 by listening to beacons that may be provided by the WAPs 311 (e.g., for a WiFi network, mobile station 108 may determine the SSID and the MACID from standard beacon signals).
- Parameter 4 above may be an a priori coarse initial estimate based upon WAP specifications, and/or a more refined value learned previously by the mobile station 108 .
- the initial processing time read from the parameter database 224 may have been provided from the server 110 , which may have been previously learned by mobile station 108 , or by another mobile station.
- the processing time for each WAP 311 ⁇ k may be the turnaround time for sending a response to a unicast packet.
- this processing time may correspond to a delay known as the short interframe space (SIFS) and typically lies within 16000 ⁇ 900 ns for a 20 MHz channel.
- SIFS short interframe space
- the mobile device can obtain the initial processing delays for a WAP 311 k by using its hardware identifier (e.g., a MACID) in a local cache that can be stored in parameter database 224 , or an external database to obtain an estimate of the processing time.
- a hardware identifier e.g., a MACID
- some embodiments may use a model of distance vs. RSSI for each WAP 311 that can map each signal strength measurement RSSI k to a distance that may be normally distributed with mean d RSSI,k and and variance ⁇ d RSSI ,k 2 . If no model is available, the mobile device can use a default model (such as, for example, the model described above in Eq. 2).
- the mobile station 108 may measure round trip time (RTT) to each WAP 311 (B 610 ).
- RTT round trip time
- the mobile station 108 either using the wide area network transceiver 204 , the local area network transceiver 206 , or a combination of the two, may send a directed probe request using the each WAP 311 based upon the hardware identifier (e.g., MACID for WAP 311 k ).
- the mobile station can perform RTT ranging measurements without associating with the WAPs 311 .
- WAPs for RTT measurements which are locked down using some form of wireless encryption (e.g., WEP, WAP, RADIUS, etc.) and require a pass-code for access.
- some form of wireless encryption e.g., WEP, WAP, RADIUS, etc.
- embodiments are not limited to probe request packets, and other types of packets may be used.
- each RTT measurement for WAP 311 k may be given by
- the units for distance and time are feet and nano-seconds, respectively, so the speed of light propagation may be estimated as ⁇ 1 ft/ns. This approximation may be useful as it may obviate multiplication operations when converting between distance and time, thus saving processing time and power consumption.
- the distance between the mobile station and each WAP 311 k may be estimated (B 615 ).
- the actual processing time delay ⁇ k for each WAP 311 k may be previously determined using manufacturer specifications and/or calibration techniques, and subsequently stored in parameter database 224 for used by the mobile station 108 .
- a supplemental distance to each WAP may be estimated using another approach(es) which may not rely on the RTT of the signal, but rather some other supplemental information (B 620 ).
- the supplemental distance is the same distance (d k ) as discussed above, but it is estimated using techniques other than RTT.
- the supplemental information may exploit one or more alternative properties of the signals exchanged between the mobile station 108 and the WAPs 311 , such as, for example, amplitude and/or phase.
- the supplemental information may a previously determined position.
- amplitude e.g., RSSI
- sensors may provide supplemental information that may be useful.
- accelerometers or other forms of networked position determination may help estimate distances between the WAPs and mobile station 108 .
- SPS signals may be weak and/or intermittent in some of the operating environments of method 600 , there may be, in some environments, adequate SPS signal strength which may be sufficient for determining supplemental distances between the mobile station 108 and the WAPs 311 .
- a mobile station with a set of valid ephemerides may be able to detect when it is indoors vs. outdoors based on its ability to detect satellites. This can help eliminate conditions when a portion of the initial bounded space is outside. If the system has provided WGS84 coordinates for the WAPs or a WGS84 landmark on a map, the mobile station 108 may also be able to use its last-known position from SPS to limit its current position.
- the mobile station 108 may have motion sensor-based information (from motion sensor 212 ) which may relate its current position to a previously established position. If, for example, a mobile station includes an accelerometer, it may know that it has experienced at most 4 meters of movement from a previously established position It can use that data to limit the range of locations at which it may currently be. A triaxial accelerometer and altimeter might also be combined to determine movement along the Z axis.
- the distance estimates may be processed to generate a combined distance estimate to each WAP (B 625 ).
- This processing may include any type of statistical and/or deterministic approaches, including kalman filters, fading memory filters, minimal mean square error (MMSE) techniques, etc.
- the mobile station 108 may determine its position using conventional trilateration methods based upon the combined distances and the network geometry (B 630 ).
- FIG. 7 is flowchart of another embodiment 700 providing an alternative approach to the process blocks 615 - 625 illustrated in FIG. 6 .
- the supplemental distances are based upon the measured signal strength RSSI associated with the ACK responses provided by the WAPs 311 .
- the RSSI measurements for each WAP may be mapped to distances using the models described above. These RSSI-based distances may be used in conjunction with RTT-based distances to determine position of the mobile station 108 , and to calibrate the processing times of the WAPs 311 .
- the distance to each WAP 311 k is determined based upon the RSSI (B 715 ).
- the measured RSSI k values may be the average of the RTT ranging packets measured from each WAP 311 k.
- the mobile station 108 may determine the distance to each WAP 311 k using RSSI k based upon the following equation.
- RSSI,k f d (RSSI k )
- RSSI ,k f ⁇ 2 (RSSI k )
- the mobile station 108 may then estimate the mean and variance of the RTT noise n k . Once the mobile station 108 determines the RTT noise, the following can be estimated.
- ⁇ circumflex over ( ⁇ ) ⁇ n,k 2 ⁇ n,k 2 ( d RSSI,k +2 ⁇ d RSSI ,k )
- the mobile device 108 may then determine the distance to each WAP 311 k based upon the measured RTT (B 720 ), and may also determine the variance of the distance based on the measured RTT using the following equations.
- the mobile station 108 may truncate d RTT,k if necessary to fall between 0 and the maximum WAP 311 range.
- the mobile station 108 may determine a combined distance estimate to each WAP 311 k (B 723 ).
- the combined distance estimate may be performed using a weighted combination of the RTT-based distance d RTT,k and the RSSI-based distance d RSSI,k for each WAP 311 k to determine a distance estimate d est,k .
- This distance estimate may be determined by using a Minimum Mean Square Error (MMSE) estimator based on the following equation:
- MMSE Minimum Mean Square Error
- d est , k ( ⁇ d RSSI , k - 2 ⁇ d RSSI , k - 2 + ⁇ d RTT , k - 2 ) ⁇ d est , k + ( ⁇ d RTT , k - 2 ⁇ d RSSI , k - 2 + ⁇ d RTT , k - 2 ) ⁇ d RTT , k ,
- ⁇ d est ,k 2 ( ⁇ d RSSI ,k ⁇ 2 + ⁇ d RTT ,k ⁇ 2 ) ⁇ 1 .
- the above equations may assume that the RSSI and RTT noise can be modeled as uncorrelated and Gaussian.
- the above distance estimator may rely on RSSI when ⁇ d RTT ,k 2 is large, either from uncertainty in the processing time or very noisy RTT measurements. However, once the processing time is known (e.g., low
- the above MMSE estimator may put more weight on the RTT measurements.
- the method may then proceed to Block 725 , where the position of the mobile device 108 may be determined using known trilateration techniques. In other embodiments, triangulation or other positioning algorithms may be used. The distances with lower variance ⁇ d est ,k 2 may be given more weight in the algorithm.
- the trilateration algorithm may also utilize past localization data to perform trajectory smoothing using, for example, Kalman filtering.
- various embodiments of the invention provide for updating the ranging models to improve their accuracy in an adaptive manner.
- the processing times ⁇ circumflex over ( ⁇ ) ⁇ k associated with each WAP 311 k used in the RTT ranging model may be updated using an iterative approach.
- these processing times ⁇ circumflex over ( ⁇ ) ⁇ k can be refined through a “learning” process to arrive at better values.
- the RSSI ranging models may be adjusted using an adaptive process to improve their fidelity. Different aspects of the models may be continuously monitored and updated if it is determined that the model should be improved.
- FIG. 8 shows a flowchart illustrating an exemplary method 800 for adaptively improving a wireless signal model.
- the mobile station 108 may measure the distance to each WAP 311 k using a wireless signal model (B 815 ). While only one model is discussed here for ease of explanation, other embodiments may use a plurality of wireless signal models.
- a position of the mobile station 108 may then be calculated using conventional localization (e.g., trilateration) techniques (B 820 ). Once the mobile station 108 position has been estimated, mobile station 108 may compute the distance between the estimated position and each WAP 311 k. Using the computed distances determined in B 825 and the measured distances determined in B 815 , mobile station 108 may update the wireless signal model to improve its fidelity.
- conventional localization e.g., trilateration
- the RTT ranging model may be improved by updated the processing time ⁇ circumflex over ( ⁇ ) ⁇ k associated with each WAP 311 k.
- coefficients associated with the RSSI ranging model may be updated, as will also be described in more detail below.
- a test may be performed to determine if the model has converged (B 835 ). This test may be a simple threshold of a parameter of interest in the model, or may be a more sophisticated metric based on statistical measurements. Once the model has converged, any further iterations may only bring marginal improvements to the model and are thus may not be worth performing. If no further convergence is observed in B 835 , then subsequent position determinations may be performed using the updated wireless model (B 840 ).
- the mobile station 108 may update the estimated processing times ⁇ circumflex over ( ⁇ ) ⁇ k for each WAP 311 k based upon the position.
- the mobile station 108 After performing the position determination in B 820 (e.g., trilateration), the mobile station 108 has the option of updating a local (e.g., parameter database 224 ) or remote database with information about the processing times ⁇ circumflex over ( ⁇ ) ⁇ k , observed WAPs 311 k (e.g., based upon MACID).
- a local e.g., parameter database 224
- remote database e.g., a remote database with information about the processing times ⁇ circumflex over ( ⁇ ) ⁇ k , observed WAPs 311 k (e.g., based upon MACID).
- Embodiments allow the localization system to learn and adapt over time by varying each ⁇ circumflex over ( ⁇ ) ⁇ k , without requiring a substantial up-front deployment cost.
- This algorithm may assume that the trilateration error at the current position in space is uncorrelated with previous measurements. That is, the mobile station 108 should perform this processing delay update procedure when it has moved sufficiently far from its previous location in space.
- the mobile station 108 could estimate such movement detecting a large change in the RSSI or RTT measurements and/or by utilizing other sensors (e.g., motion sensor 212 ).
- the mobile station 108 may calculate the distance d tri,k between the estimated position and WAP 311 k.
- the average round-trip time RTT k and the post-trilateration distance d tri,k may be related via the following matrix equation:
- ⁇ k is the exact processing time delay for WAP 311 k
- d k is the exact distance to WAP 311 k
- n k is the average noise in the RTT measurements
- ⁇ k is the post-trilateration error.
- the mobile station 108 can model all variables on the right side of the above matrix equation as being uncorrelated and normally distributed as described below.
- the mobile station 108 can then form an updated estimate of the processing time delays using minimum mean square error (MMSE) techniques as shown using the equations below:
- MMSE minimum mean square error
- the new processing time ⁇ circumflex over ( ⁇ ) ⁇ k,new may be a weighted sum of the current processing time ⁇ circumflex over ( ⁇ ) ⁇ k and a measured processing time ⁇ circumflex over ( ⁇ ) ⁇ k,measured that may be derived from the RTT measurements, the RSSI distances, and the post-trilateration distances.
- the weights may depend on the estimated variance of the processing time.
- ⁇ circumflex over ( ⁇ ) ⁇ k,new ⁇ circumflex over ( ⁇ ) ⁇ k,measured .
- ⁇ circumflex over ( ⁇ ) ⁇ k,new may be updated whenever the measurements cause a substantial decrease in
- the processing time may reach a steady state with ⁇ circumflex over ( ⁇ ) ⁇ k,new ⁇ circumflex over ( ⁇ ) ⁇ k .
- the wireless signal model may be based upon an RSSI ranging model.
- FIG. 9 is a graph of exemplary ranging models used to determine the distance between a mobile station and a wireless access point based upon RSSI.
- the mobile station 108 may “listen” for signals transmitted by each WAP 311 k, where the signals may be in the form of beacons. The signal strength of each transmission may be converted to a distance using a model that may be based on the deployment environment, such as, for example, an office building or shopping mall.
- the exemplary plot of RSSI vs. distance is representative of an indoor environment, with upper and lower bounds being shown. These bounds may be based upon the variance of the RSSI.
- the model may be based on propagation models based upon a map of the WAP deployment.
- the models may be used to convert signal strength to a distance for each WAP 311 k.
- An initial distance estimate may be determined by the midpoint of the min/max range from the RSSI, although more sophisticated approaches may be used.
- Trilateration may be performed using the initial distance estimates to roughly approximate the position of the mobile station 108 .
- the variance of the RSSI measurements may be used to weight distance estimates based upon confidence prior to trilateration (e.g., low variance distance estimates may be weighted higher than high variance estimates).
- multiple measurements may be performed to each WAP 311 in a short time interval to reduce noise via averaging, filtering, and/or other processing.
- various model(s) may provide an average distance, and a variance in this distance, as a function of RSSI.
- Advantages of using such a model may include: avoiding time-consuming fingerprinting of the environment of interest; generating no additional wireless traffic to determine the estimates; and utilizing standard wireless protocols (e.g., 802.11 a/b/g/n, etc.) without having to alter them.
- standard wireless protocols e.g., 802.11 a/b/g/n, etc.
- FIG. 10 illustrates a diagram of an exemplary indoor environment 1000 which may be modeled to improve distance estimates between wireless access points and a mobile station based upon RSSI.
- the mobile station 108 may be able to exchange wireless signals with a plurality of Local Area Network Wireless Access Points (LAN-WAPs) 1006 .
- LAN-WAPs Local Area Network Wireless Access Points
- One may expect, in the absence of other forms of electronic interference, that the signals received from LAN-WAPs 1006 a 1006 c, and 1006 e would be relatively strong.
- LAN-WAPs may reside in different rooms, and may have the signals attenuated by building obstructions such as walls.
- the attenuation of signals exchanged with LAN-WAPs 1006 b and 1006 e may vary depending upon the material used in the construction of the walls.
- RSSI models relating distance and signal strength may be generated based upon the indoor environment 1000 .
- Such models may include the geometry of each LAN-WAP in relation to the mobile device 108 , and/or geometry of each LAN-WAP in relation to the obstructions within the environment.
- models may also include other factors affecting the signal, such as, for example, the material of the obstructions to module their attenuation effects (e.g.
- the mobile station may already be receiving the LAN-WAP network geometry through a particular channel.
- a particular channel may be used to provide information about the local conditions which may be presumed to exist.
- the channel may be used to provide a ray-tracing based model of the local conditions which would improve on the fidelity of the base RSSI model.
- This model might be provided in the forms as detailed as the ray-tracing of the venue or as simple as a reference to a known set of general models (e.g. “auditorium”, “cube farm”, “high-rise office”).
- a full map of the environment may be provided, and the mobile station 108 may also produce its own ray-tracing model, and/or perform pattern-matching to pick a more appropriate RSSI model.
- the RSSI model may be dynamic in nature, and thus can be refined in an iterative manner over time as the mobile station 108 moves throughout the environment 1000 .
- the mobile station 108 may initially start with a simple model of how the RSSI behaves with distance (for example, as described above in FIG. 5 and FIG. 9 ), using a ray-tracing model generated from a map of the environment, and/or from a generic model such as office, warehouse, mall, etc.
- the mobile station 108 may then move around the environment, localizing itself using the positioning algorithm described in above. Deviations from the model may be compared, and the model updated, based upon the computed position of the mobile station 108 .
- FIG. 11 is a flowchart showing another exemplary process 1100 for which uses both RTT and RSSI ranging modules for determining the position of a mobile station and adaptively improving the RTT model.
- the mobile station may determine an initial estimation of the WAP 311 processing times based on the known limitations of the WAP radio ranges.
- the mobile station 108 may calculate its position using a trilateration algorithm, where typically at least three WAPs 311 are visible in two-dimensional space.
- the mobile station may perform updates to prior estimates of the WAP 311 processing times by comparing its most recent calculated position with prior position solutions. Using the updated position calculations and additional RTT measurements, the mobile station 108 may continue refining the processing time estimate as more measurements are taken. The details of this process are presented below.
- Process 1100 may start out by having the mobile device 108 initialize various parameters associated with each WAP 311 k (B 1105 ). This process may be similar to the initialization described in B 605 . The mobile station 108 may then perform RTT measurements to each WAP 311 k (B 1110 ). As before, the model for RTT may be provided as:
- the foregoing method may estimate the processing time ⁇ k for each WAP 311 k.
- this model differs from model used in the aforementioned process 800 described above in 3.1, in that the noise n k may be modeled here using a uniform distribution, whereas in process 800 a Gaussian distribution may be used.
- the noise n k may be mitigated by averaging several measurements taken in the same location. This assumption may be reasonable if the mobile station 108 is stationary or moving at low speed.
- the speed of light propagation may be estimated as ⁇ 1 ft/ns.
- the mobile station may determine an initial estimate of each WAP 311 k processing time ⁇ circumflex over ( ⁇ ) ⁇ k based upon signal strength measurements (B 1115 ).
- the mobile station 108 can bracket the distance d k a WAP 311 k to be in an interval between a maximum range (R k,min ) and a minimum range (R k,min ), as represented by the equation below.
- the initial estimate of processing time ⁇ circumflex over ( ⁇ ) ⁇ k,init may be approximated as the midpoint of the above interval for each WAP 311 k:
- the initial estimate of processing time ⁇ circumflex over ( ⁇ ) ⁇ k,init may be approximated as the midpoint of the intersection of the above intervals for WAPs 311 :
- the process 1100 may next calculate the position of the mobile station based on the measured RTTs and then WAP processing time estimates (B 1120 ). To determine position, the mobile station 108 may convert the RTT measurements associated with each WAP 311 k to an estimated distance ⁇ circumflex over (d) ⁇ k . The estimated distance to each WAP 311 k may be determined using the following equation.
- the mobile station 108 may calculate its position (x,y) using trilateration. Typically, the error in the calculated position (x,y) is less that the error associated with each estimated distance.
- the process may then update the distance to each WAP 311 then determine a new processing time for each WAP based upon the new distance (B 1125 ).
- the new distance to each WAP 311 k may be determined using the following equation.
- ⁇ circumflex over (d) ⁇ ′ k ⁇ ( x,y ) ⁇ ( x k ,y k ) ⁇
- the mobile station 108 may update the processing time estimate ⁇ circumflex over ( ⁇ ) ⁇ ′ k using the following equation, when each WAP 311 k has a different processing time.
- each WAP 311 k has substantially the same processing time, the following equation may be used to update the processing time estimate.
- ⁇ circumflex over ( ⁇ ) ⁇ ′ mean(RTT k ⁇ 2 ⁇ circumflex over (d) ⁇ ′ k )
- a test may be performed to determine if further iterations should be made to further refine the processing time estimates.
- the WAP 311 processing estimates may be tested to determine if they have converged (B 1135 ).
- a test may be performed on the distances to each WAP, or a mathematical functions thereof (e.g., mean distances), to determine whether further refinements to the processing time should be performed. If further iterations are useful, the process 1100 may loop back to Block 1140 , where the round trip time to each WAP 311 k is measured again.
- multiple measurements may be performed, and may be mathematically combined with prior measurements (e.g., averaging, FIR/IIR filtering, etc.), to mitigate the effects of noise.
- the new RTT measurements may then be used in a reiteration of Blocks 1120 through 1125 to refine the processing time estimate ⁇ circumflex over ( ⁇ ) ⁇ ′ k associated with each WAP 311 k.
- the process 1100 may then monitor the position of the mobile station 108 to determine whether its position has changed (B 1141 ). If so, the mobile station 108 may repeat the process 1100 starting looping back to Block 1110 . In this case, if new WAPs are discovered, the initial processing times may be computed as described above in Block 1115 . However, for WAPs that are in still in range which already have had refined processing times determined (assuming that they are different), the refined times for these WAPs may be used to improve the efficiency of the process 1100 . If it is determined in Block 1141 that the position of the mobile station 108 has not changed, the mobile station may monitor its position to detect changes in position (B 1142 ).
- determining whether the mobile station 108 has changed position in Block 1141 may be accomplished using the motion sensor 212 , or some other form of position determination (e.g., AFLT, GPS, etc.) In these embodiments, the motion state of the mobile device may be monitored, and once motion is detected, the process resumes as described above.
- the mobile station may monitor its position in Block 1142 by continuing to measure RTT to each WAP 311 k using the updated processing times (B 1145 ), and then determining its position (B 1150 ) based upon the updated. WAP processing time as described above.
- the methodologies described herein may be implemented by various means depending upon the application. For example, these methodologies may be implemented in hardware, firmware, software, or any combination thereof.
- the processing units may be implemented within one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, electronic devices, other electronic units designed to perform the functions described herein, or a combination thereof.
- ASICs application specific integrated circuits
- DSPs digital signal processors
- DSPDs digital signal processing devices
- PLDs programmable logic devices
- FPGAs field programmable gate arrays
- processors controllers, micro-controllers, microprocessors, electronic devices, other electronic units designed to perform the functions described herein, or a combination thereof.
- the methodologies may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein.
- Any machine-readable medium tangibly embodying instructions may be used in implementing the methodologies described herein.
- software codes may be stored in a memory and executed by a processor unit.
- Memory may be implemented within the processor unit or external to the processor unit.
- the term “memory” refers to any type of long term, short term, volatile, nonvolatile, or other memory and is not to be limited to any particular type of memory or number of memories, or type of media upon which memory is stored.
- the functions may be stored as one or more instructions or code on a computer-readable medium. Examples include computer-readable media encoded with a data structure and computer-readable media encoded with a computer program. Computer-readable media includes physical computer storage media. A storage medium may be any available medium that can be accessed by a computer.
- such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired program code in the form of instructions or data structures and that can be accessed by a computer; disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
- a communication apparatus may include a transceiver having signals indicative of instructions and data.
- the instructions and data are configured to cause one or more processors to implement the functions outlined in the claims. That is, the communication apparatus includes transmission media with signals indicative of information to perform disclosed functions. At a first time, the transmission media included in the communication apparatus may include a first portion of the information to perform the disclosed functions, while at a second time the transmission media included in the communication apparatus may include a second portion of the information to perform the disclosed functions.
Abstract
Description
- The present Application for Patent claims priority to Provisional Application No. 61/116,996 entitled “DETERMINATION OF PROCESSING DELAY FOR ACCURATE TWO-WAY RANGING IN A WIRELESS NETWORK” filed Nov. 21, 2008, and 61/117,055 entitled “LOCALIZATION VIA SIGNAL STRENGTH” filed Nov. 21, 2008, each assigned to the assignee hereof and hereby expressly incorporated by reference herein in its entirety.
- The present Application for Patent is related to the following co-pending U.S. patent applications.
- “BEACON SECTORING FOR POSITION DETERMINATION” by Aggarwal et al., having Attorney Docket No. 090215, filed concurrently herewith, assigned to the assignee hereof, and expressly incorporated by reference herein.
- “NETWORK-CENTRIC DETERMINATION OF NODE PROCESSING DELAY” by Aggarwal et al., having Attorney Docket No. 090505, filed concurrently herewith, assigned to the assignee hereof, and expressly incorporated by reference herein.
- “WIRELESS-BASED POSITIONING ADJUSTMENTS USING A MOTION SENSOR” by Aggarwal et al., having Attorney Docket No. 090533, filed concurrently herewith, assigned to the assignee hereof, and expressly incorporated by reference herein.
- Aspects of this disclosure generally relate to wireless communication systems, and more specifically, to improved position determination methods and apparatuses for use with and/or by wireless mobile devices.
- Mobile communications networks are in the process of offering increasingly sophisticated capabilities associated with the motion and/or position location sensing of a mobile device. New software applications, such as, for example, those related to personal productivity, collaborative communications, social networking, and/or data acquisition, may utilize motion and/or position sensors to provide new features and services to consumers. Moreover, some regulatory requirements of various jurisdictions may require a network operator to report the location of a mobile device when the mobile device places a call to an emergency service, such as a 911 call in the United States.
- In conventional digital cellular networks, position location capability can be provided by various time and/or phase measurement techniques. For example, in CDMA networks, one position determination approach used is Advanced Forward Link Trilateration (AFLT). Using AFLT, a mobile device may compute its position from phase measurements of pilot signals transmitted from a plurality of base stations. Improvements to AFLT have been realized by utilizing hybrid position location techniques, where the mobile station may employ a Satellite Positioning System (SPS) receiver. The SPS receiver may provide position information independent of the information derived from the signals transmitted by the base stations. Moreover, position accuracy can be improved by combining measurements derived from both SPS and AFLT systems using conventional techniques.
- However, conventional position location techniques based upon signals provided by SPS and/or cellular base stations may encounter difficulties when the mobile device is operating within a building and/or within urban environments. In such situations, signal reflection and refraction, multipath, and/or signal attenuation can significantly reduce position accuracy, and can slow the “time-to-fix” to unacceptably long time periods. These shortcomings may be overcome by having the mobile device exploit signals from other existing wireless networks, such as Wi-Fi (e.g., IEEE 802.11x standards), to derive position information. Conventional position determination techniques used in other existing wireless networks may utilize round trip time (RTT) measurements derived from signals utilized within these networks.
- Utilizing RTT measurement techniques to accurately determine position typically involves knowledge of time delays incurred by the wireless signals as they propagate through various network devices comprising the network. Such delays may be spatially variant due to, for example, multipath and/or signal interference. Moreover, such processing delays may change over time based upon the type of network device and/or the network device's current networking load. In practice, when employing conventional RTT positioning techniques, estimating processing delay times may involve hardware changes in the wireless access points, and/or time-consuming pre-deployment fingerprinting and/or calibration of the operational environment.
- Accordingly, it may be desirable to implement various models, alone or in combination, that exploit wireless signal properties (such as, for example, RTT, signal strength, etc.) which can improve position determination while avoiding costly pre-deployment efforts and/or changes to the network infrastructure.
- Exemplary embodiments of the invention are directed to apparatus and methods for wirelessly determining the position of a mobile station. In one embodiment, a method may include measuring a round trip time (RTT) to each of a plurality of wireless access points, and estimating a first distance to each wireless access point based upon the round trip time delay and an initial processing time associated with each wireless access point. The method may further include estimating a second distance to each wireless access point based upon supplemental information, combining the first and second distance estimates to each wireless access point, and calculating the position of the mobile station based upon the combined distance estimates.
- In another embodiment, an apparatus for wireless position determination is presented. The apparatus may include a wireless transceiver, a processor coupled to the wireless transceiver, and a memory coupled to the processor. The memory may store executable instructions and data for causing the processor to measure a round trip time (RTT) to each of a plurality of wireless access points, estimate a first distance to each wireless access point based upon the round trip time delay and an initial processing time associated with each wireless access point, estimate a second distance to each wireless access point based upon supplemental information, combine the first and second distance estimates to each wireless access point, and calculate the position of the mobile station based upon the combined distance estimates.
- In yet another embodiment, a method for wirelessly determining a position of a mobile station using signals provided by a plurality of wireless access points is presented. The method may include measuring a distance to each wireless access point based upon a wireless signal model and calculating a position of the mobile station based upon the measured distance. The method may further include determining a computed distance to each wireless access point based upon the calculated position of the mobile station, updating the wireless signal model based upon the measured and computed distances to each wireless access point, and determining whether the wireless signal model has converged.
- In yet another embodiment, an apparatus for wireless position determination of a mobile station using signals provided by a plurality of wireless access points is presented. The apparatus may include a wireless transceiver, a processor coupled to the wireless transceiver, and a memory coupled to the processor. The memory may store executable instructions and data for causing the processor to measure a distance to each wireless access point based upon a wireless signal model, calculate a position of the mobile station based upon the measured distance, determine a computed distance to each wireless access point based upon the calculated position of the mobile station, update the wireless signal model based upon the measured and computed distances to each wireless access point, and determine whether the wireless signal model has converged.
- In yet another embodiment, a method for wirelessly determining a position of a mobile station may include measuring a round trip time delay to each of a plurality of wireless access points and estimating an initial processing time for each of the wireless access points. The method may further include calculating the position of the mobile station based upon the measured round trip time delays and estimated processing times, and updating the estimated processing time for each of the wireless access points based upon the calculated position of the mobile station.
- In yet another embodiment, an apparatus for wirelessly determining a position of a mobile station may include a wireless transceiver, a processor coupled to the wireless transceiver, and a memory coupled to the processor. The memory may store executable instructions and data for causing the processor to measure a round trip time delay to each of a plurality of wireless access points, estimate an initial processing time for each of the wireless access points, calculate the position of the mobile station based upon the measured round trip time delays and estimated processing times, and update the estimated processing time for each of the wireless access points based upon the calculated position of the mobile station.
- Various embodiments may benefit from having wireless access points which do not require knowledge of their processing times and/or require providing this information to mobile stations using beacons, ranging packets, and/or look-up tables. Such advantages can reduce the burden on wireless access point manufacturers, which may be able to avoid modifications their hardware and/or protocols. Moreover, various embodiments may permit reducing the complexity of maintaining a central database of the processing time values for different manufactures of wireless access points.
- The accompanying drawings are presented to aid in the description of embodiments of the invention and are provided solely for illustration of the embodiments and not limitation thereof.
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FIG. 1 is a diagram of an exemplary operating environment for a mobile station consistent with embodiments of the disclosure. -
FIG. 2 is a block diagram illustrating various components of an exemplary mobile station. -
FIG. 3 is diagram illustrating an exemplary technique for determining a position of a mobile station using information obtained from a plurality of wireless access points. -
FIG. 4 is a diagram showing exemplary timings within a round trip time (RTT) occurring during a wireless probe request and a response. -
FIG. 5 is a graph illustrating an exemplary relationship of a received signal strength indication (RSSI) and the distance between a mobile station and a wireless access point. -
FIG. 6 is a flowchart showing an exemplary process for combining wireless signal models to improve the position determination of a mobile station. -
FIG. 7 is flowchart of another embodiment of the process illustrated inFIG. 6 , where the distances based upon the measured signal strength (RSSI) and RTT may be combined to improve the position of the mobile station. -
FIG. 8 shows a flowchart illustrating an exemplary method for adaptively improving a wireless signal model. -
FIG. 9 is a graph of exemplary ranging models used to determine the distance between a mobile station and a wireless access point based upon RSSI. -
FIG. 10 is a diagram of an exemplary indoor environment which may be modeled to improve distance estimates between wireless access points and a mobile station based upon RSSI. -
FIG. 11 is a flowchart illustrating another exemplary method which uses both RSSI and RTT ranging models for position determination, wherein the RTT model is adaptive model. - Aspects of the invention are disclosed in the following description and related drawings directed to specific embodiments of the invention. Alternate embodiments may be devised without departing from the scope of the invention. Additionally, well-known elements of the invention will not be described in detail or will be omitted so as not to obscure the relevant details of the invention.
- The word “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments. Likewise, the term “embodiments of the invention” does not require that all embodiments of the invention include the discussed feature, advantage or mode of operation.
- The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the invention. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises”, “comprising,”, “includes” and/or “including”, when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
- Further, many embodiments are described in terms of sequences of actions to be performed by, for example, elements of a computing device. It will be recognized that various actions described herein can be performed by specific circuits (e.g., application specific integrated circuits (ASICs)), by program instructions being executed by one or more processors, or by a combination of both. Additionally, these sequence of actions described herein can be considered to be embodied entirely within any form of computer readable storage medium having stored therein a corresponding set of computer instructions that upon execution would cause an associated processor to perform the functionality described herein. Thus, the various aspects of the invention may be embodied in a number of different forms, all of which have been contemplated to be within the scope of the claimed subject matter. In addition, for each of the embodiments described herein, the corresponding form of any such embodiments may be described herein as, for example, “logic configured to” perform the described action.
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FIG. 1 is a diagram of anexemplary operating environment 100 for amobile station 108. Embodiments of the invention are directed to amobile station 108 which may utilize a combination of range models and/or for determining position. Other embodiments may adaptively change the ranging models, such as, for example, using round trip time measurements (RTTs) that are adjusted to accommodate for processing delays introduced by wireless access points. The processing delays may vary among different access points and may also change over time. By using supplemental information, such as, for example, a received signal strength indicator (RSSI), the base station may determine position and/or calibrate out the effects of the processing delays introduced by the wireless access points using iterative techniques. - The operating
environment 100 may contain one or more different types of wireless communication systems and/or wireless positioning systems. In the embodiment shown inFIG. 1 , a Satellite Positioning System (SPS) 102 may be used as an independent source of position information for themobile station 108. Themobile station 108 may include one or more dedicated SPS receivers specifically designed to receive signals for deriving geo-location information from the SPS satellites. - The operating
environment 100 may also include a plurality of one or more types Wide Area Network Wireless Access Points (WAN-WAPs) 104, which may be used for wireless voice and/or data communication, and as another source of independent position information formobile station 108. The WAN-WAPs 104 may be part of wide area wireless network (WWAN), which may include cellular base stations at known locations, and/or other wide area wireless systems, such as, for example, WiMAX (e.g., 802.16). The WWAN may include other known network components which are not shown inFIG. 1 for simplicity. Typically, each WAN-WAPs 104 a-104 c within the WWAN may operate from fixed positions, and provide network coverage over large metropolitan and/or regional areas. - The operating
environment 100 may further include Local Area Network Wireless Access Points (LAN-WAPs) 106, may be used for wireless voice and/or data communication, as well as another independent source of position data. The LAN-WAPs can be part of a Wireless Local Area Network (WLAN), which may operate in buildings and perform communications over smaller geographic regions than a WWAN. Such LAN-WAPs 106 may be part of, for example, WiFi networks (802.11x), cellular piconets and/or femtocells, Bluetooth Networks, etc. - The
mobile station 108 may derive position information from any one or a combination of the SPS satellites 102, the WAN-WAPs 104, and/or the LAN-WAPs 106. Each of the aforementioned systems can provide an independent estimate of the position formobile station 108 using different techniques. In some embodiments, the mobile station may combine the solutions derived from each of the different types of access points to improve the accuracy of the position data. - When deriving position using the SPS 102, the mobile station may utilize a receiver specifically designed for use with the SPS that extracts position, using conventional techniques, from a plurality of signals transmitted by SPS satellites 102. The method and apparatus described herein may be used with various satellite positioning systems, which typically include a system of transmitters positioned to enable entities to determine their location on or above the Earth based, at least in part, on signals received from the transmitters. Such a transmitter typically transmits a signal marked with a repeating pseudo-random noise (PN) code of a set number of chips and may be located on ground based control stations, user equipment and/or space vehicles. In a particular example, such transmitters may be located on Earth orbiting satellite vehicles (SVs). For example, a SV in a constellation of Global Navigation Satellite System (GNSS) such as Global Positioning System (GPS), Galileo, Glonass or Compass may transmit a signal marked with a PN code that is distinguishable from PN codes transmitted by other SVs in the constellation (e.g., using different PN codes for each satellite as in GPS or using the same code on different frequencies as in Glonass). In accordance with certain aspects, the techniques presented herein are not restricted to global systems (e.g., GNSS) for SPS. For example, the techniques provided herein may be applied to or otherwise enabled for use in various regional systems, such as, e.g., Quasi-Zenith Satellite System (QZSS) over Japan, Indian Regional Navigational Satellite System (IRNSS) over India, Beidou over China, etc., and/or various augmentation systems (e.g., an Satellite Based Augmentation System (SBAS)) that may be associated with or otherwise enabled for use with one or more global and/or regional navigation satellite systems. By way of example but not limitation, an SBAS may include an augmentation system(s) that provides integrity information, differential corrections, etc., such as, e.g., Wide Area Augmentation System (WAAS), European Geostationary Navigation Overlay Service (EGNOS), Multi-functional Satellite Augmentation System (MSAS), GPS Aided Geo Augmented Navigation or GPS and Geo Augmented Navigation system (GAGAN), and/or the like. Thus, as used herein an SPS may include any combination of one or more global and/or regional navigation satellite systems and/or augmentation systems, and SPS signals may include SPS, SPS-like, and/or other signals associated with such one or more SPS.
- Furthermore, the disclosed method and apparatus may be used with positioning determination systems that utilize pseudolites or a combination of satellites and pseudolites. Pseudolites are ground-based transmitters that broadcast a PN code or other ranging code (similar to a GPS or CDMA cellular signal) modulated on an L-band (or other frequency) carrier signal, which may be synchronized with GPS time. Each such transmitter may be assigned a unique PN code so as to permit identification by a remote receiver. Pseudolites are useful in situations where GPS signals from an orbiting satellite might be unavailable, such as in tunnels, mines, buildings, urban canyons or other enclosed areas. Another implementation of pseudolites is known as radio-beacons. The term “satellite”, as used herein, is intended to include pseudolites, equivalents of pseudolites, and possibly others. The term “SPS signals”, as used herein, is intended to include SPS-like signals from pseudolites or equivalents of pseudolites.
- When deriving position from the WWAN, each WAN-WAPs 104 a-104 c may take the form of base stations within a digital cellular network, and the
mobile station 108 may include a cellular transceiver and processor that can exploit the base station signals to derive position. It should be understood that digital cellular network may include additional base stations or other resources show inFIG. 1 . While WAN-WAPs 104 may actually be moveable or otherwise capable of being relocated, for illustration purposes it will be assumed that they are essentially arranged in a fixed position. - The
mobile station 108 may perform position determination using known time-of-arrival techniques such as, for example, Advanced Forward Link Trilateration (AFLT). In other embodiments, each WAN-WAP 104 a-104 c may take the form of WiMax wireless networking base station. In this case, themobile station 108 may determine its position using time-of-arrival (TOA) techniques from signals provided by the WAN-WAPs 104. Themobile station 108 may determine positions either in a stand alone mode, or using the assistance of apositioning server 110 andnetwork 112 using TOA techniques, as will be described in more detail below. Note that embodiments of the disclosure include having themobile station 108 determine position information using WAN-WAPs 104 which are different types. For example, some WAN-WAPs 104 may be cellular base stations, and other WAN-WAPs may be WiMax base stations. In such an operating environment, themobile station 108 may be able to exploit the signals from each different type of WAN-WAP, and further combine the derived position solutions to improve accuracy. - When deriving position using the WLAN, the
mobile station 108 may utilize time of arrival techniques with the assistance of thepositioning server 110 and thenetwork 112. Thepositioning server 110 may communicate to the mobile station throughnetwork 112.Network 112 may include a combination of wired and wireless networks which incorporate the LAN-WAPs 106. In one embodiment, each LAN-WAP 106 a-106 e may be, for example, a WiFi wireless access point, which is not necessarily set in a fixed position and can change location. The position of each LAN-WAP 106 a-106 e may be stored in thepositioning server 110 in a common coordinate system. In one embodiment, the position of themobile station 108 may be determined by having themobile station 108 receive signals from each LAN-WAP 106 a-106 e. Each signal may be associated with its originating LAN-WAP based upon some form of identifying information that may be included in the received signal (such as, for example, a MAC address). Themobile station 108 may then derive the time delays associated with each of the received signals. Themobile station 108 may then form a message which can include the time delays and the identifying information of each of the LAN-WAPs, and send the message vianetwork 112 to thepositioning server 110. Based upon the received message, the positioning server may then determine a position, using the stored locations of the relevant LAN-WAPs 106, of themobile station 108. Thepositioning server 110 may generate and provide a Location Configuration Information (LCI) message to the base station that includes a pointer to the mobile station's position in a local coordinate system. The LCI message may also include other points of interest in relation to the location of themobile station 108. When computing the position of themobile station 108, the positioning server may take into account the different delays which can be introduced by elements within the wireless network. - The position determination techniques described herein may be used for various wireless communication networks such as a wide area wireless network (WWAN), a wireless local area network (WLAN), a wireless personal area network (WPAN), and so on. The term “network” and “system” may be used interchangeably. A WWAN may be a Code Division Multiple Access (CDMA) network, a Time Division Multiple Access (TDMA) network, a Frequency Division Multiple Access (FDMA) network, an Orthogonal Frequency Division Multiple Access (OFDMA) network, a Single-Carrier Frequency Division Multiple Access (SC-FDMA) network, a WiMax (IEEE 802.16) and so on. A CDMA network may implement one or more radio access technologies (RATs) such as cdma2000, Wideband-CDMA (W-CDMA), and so on. Cdma2000 includes IS-95, IS-2000, and IS-856 standards. A TDMA network may implement Global System for Mobile Communications (GSM), Digital Advanced Mobile Phone System (D-AMPS), or some other RAT. GSM and W-CDMA are described in documents from a consortium named “3rd Generation Partnership Project” (3GPP). Cdma2000 is described in documents from a consortium named “3rd Generation Partnership Project 2” (3GPP2). 3GPP and 3GPP2 documents are publicly available. A WLAN may be an IEEE 802.11x network, and a WPAN may be a Bluetooth network, an IEEE 802.15x, or some other type of network. The techniques may also be used for any combination of WWAN, WLAN and/or WPAN.
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FIG. 2 is a block diagram illustrating various components of an exemplarymobile station 200. For the sake of simplicity, the various features and functions illustrated in the box diagram ofFIG. 2 are connected together using a common bus which is meant to represent that these various features and functions are operatively coupled together. Those skilled in the art will recognize that other connections, mechanisms, features, functions, or the like, may be provided and adapted as necessary to operatively couple and configure an actual portable wireless device. Further, it is also recognized that one or more of the features or functions illustrated in the example ofFIG. 2 may be further subdivided or two or more of the features or functions illustrated inFIG. 2 may be combined. - The mobile station may include one or more wide area network transceiver(s) 204 that may be connected to one or
more antennas 202. The widearea network transceiver 204 comprises suitable devices, hardware, and/or software for communicating with and/or detecting signals to/from WAN-WAPs 104, and/or directly with other wireless devices within a network. In one aspect, the widearea network transceiver 204 may comprise a CDMA communication system suitable for communicating with a CDMA network of wireless base stations; however in other aspects, the wireless communication system may comprise another type of cellular telephony network, such as, for example, TDMA or GSM. Additionally, any other type of wireless networking technologies may be used, for example, WiMax (802.16), etc. The mobile station may also include one or more localarea network transceivers 206 that may be connected to one ormore antennas 202. The localarea network transceiver 206 comprises suitable devices, hardware, and/or software for communicating with and/or detecting signals to/from LAN-WAPs 106, and/or directly with other wireless devices within a network. In one aspect, the localarea network transceiver 206 may comprise a WiFi (802.11x) communication system suitable for communicating with one or more wireless access points; however in other aspects, the localarea network transceiver 206 comprise another type of local area network, personal area network, (e.g., Bluetooth). Additionally, any other type of wireless networking technologies may be used, for example, Ultra Wide Band, ZigBee, wireless USB etc. - As used herein, the abbreviated term “wireless access point” (WAP) may be used to refer to LAN-WAPs 106 and/or WAN-WAPs 104. Specifically, in the description presented below, when the term “WAP” is used, it should be understood that embodiments may include a
mobile station 200 that can exploit signals from a plurality of LAN-WAPs 106, a plurality of WAN-WAPs 104, or any combination of the two. The specific type of WAP being utilized by themobile station 200 may depend upon the environment of operation. Moreover, themobile station 200 may dynamically select between the various types of WAPs in order to arrive at an accurate position solution. - An
SPS receiver 208 may also be included inmobile station 200. TheSPS receiver 208 may be connected to the one ormore antennas 202 for receiving satellite signals. TheSPS receiver 208 may comprise any suitable hardware and/or software for receiving and processing SPS signals. TheSPS receiver 208 requests information and operations as appropriate from the other systems, and performs the calculations necessary to determine the mobile station's 200 position using measurements obtained by any suitable SPS algorithm. - A
motion sensor 212 may be coupled toprocessor 210 to provide relative movement and/or orientation information which is independent of motion data derived from signals received by the widearea network transceiver 204, the localarea network transceiver 206 and theSPS receiver 208. By way of example but not limitation,motion sensor 212 may utilize an accelerometer (e.g., a MEMS device), a gyroscope, a geomagnetic sensor (e.g., a compass), an altimeter (e.g., a barometric pressure altimeter), and/or any other type of movement detection sensor. Moreover,motion sensor 212 may include a plurality of different types of devices and combine their outputs in order to provide motion information. - A
processor 210 may be connected to the widearea network transceiver 204, localarea network transceiver 206, theSPS receiver 208 and themotion sensor 212. The processor may include one or more microprocessors, microcontrollers, and/or digital signal processors that provide processing functions, as well as other calculation and control functionality: Theprocessor 210 may also includememory 214 for storing data and software instructions for executing programmed functionality within the mobile station. Thememory 214 may be on-board the processor 210 (e.g., within the same IC package), and/or the memory may be external memory to the processor and functionally coupled over a data bus. The details of software functionality associated with aspects of the disclosure will be discussed in more detail below. - A number of software modules and data tables may reside in
memory 214 and be utilized by theprocessor 210 in order to manage both communications and positioning determination functionality. As illustrated inFIG. 2 ,memory 214 may include and/or otherwise receive apositioning module 216, anapplication module 218, a received signal strength indicator (RSSI)module 220, and a round trip time (RTT)module 222. One should appreciate that the organization of the memory contents as shown inFIG. 2 is merely exemplary, and as such the functionality of the modules and/or data structures may be combined, separated, and/or be structured in different ways depending upon the implementation of themobile station 200. - The
application module 218 may be a process running on theprocessor 210 of themobile device 200, which requests position information from thepositioning module 216. Applications typically run within an upper layer of the software architectures, and may include Indoor Navigation, Buddy Locator, Shopping and Coupons, Asset Tracking, and location Aware Service Discovery. Thepositioning module 216 may derive the position of themobile device 200 using information derived from the RTTs measured from signals exchanged with a plurality of WAPs. In order to accurately determine position using RTT techniques, reasonable estimates of processing time delays introduced by each WAP may be used to calibrate/adjust the measured RTTs. The measured RTTs may be determined by theRTT module 222, which can measure the timings of signals exchanged between themobile station 200 and the WAPs to derive round trip time (RTT) information. - Once measured, the RTT values may be passed to the
positioning module 216 to assist in determining the position of themobile device 200. Thepositioning module 216 may use supplemental information to estimate the processing times of the WAPs. In one embodiment, the amplitude values of the signals transmitted by the WAPs may be used to provide this information. These amplitude values may be determined in the form of RSSI measurements determined byRSSI module 220. TheRSSI module 220 may provide amplitude and statistical information regarding the signals to theposition module 216. The position module may then estimate the processing times to calibrate the RTT measurements and accurately determine position. The position may then be output to theapplication module 218 in response to its aforementioned request. In addition, thepositioning module 216 may utilize aparameter database 224 for exchanging operational parameters. Such parameters may include the determined processing times for each WAP, the WAPs positions in a common coordinate frame, various parameters associated with the network, initial processing time estimates, processing time estimates determined previously, etc. Details of these parameters will be provided in subsequent sections below. - In other embodiments, the supplemental information may optionally include auxiliary position and/or motion data which may be determined from other sources. The auxiliary position data may be incomplete or noisy, but may be useful as another source of independent information for estimating the processing times of the WAPs. As illustrated in
FIG. 2 using dashed lines,mobile device 200 may optionally store auxiliary position/motion data 226 in memory which may be derived from information received other sources as described below. Moreover, in other embodiments, supplemental information may include, but not be limited to, information that can be derived or based upon Bluetooth signals, beacons, RFID tags, and/or information derived from map (e.g., receiving coordinates from a digital representation of a geographical map by, for example, a user interacting with a digital map). - In one embodiment, all or part of auxiliary position/
motion data 226 may be derived from information supplied bymotion sensor 212 and/orSPS receiver 208. In other embodiments, auxiliary position/motion data 226 may be determined through additional networks using non-RTT techniques (e.g., AFLT within a CDMA network). In certain implementations, all or part of auxiliary position/motion data 226 may also be provided by way ofmotion sensor 212 and/orSPS receiver 208 without further processing byprocessor 210. In some embodiments, the auxiliary position/motion data 226 may be directly provided by themotion sensor 212 and/orSPS receiver 208 to theprocessing unit 210. Position/motion data 226 may also include acceleration data and/or velocity data which may provide direction and speed. In other embodiments, position/motion data 226 may further include directionality data which may only provide direction of movement. - While the modules shown in
FIG. 2 are illustrated in the example as being contained inmemory 214, it is recognized that in certain implementations such procedures may be provided for or otherwise operatively arranged using other or additional mechanisms. For example, all or part ofpositioning module 216 and/orapplication module 218 may be provided in firmware. Additionally, while in thisexample positioning module 216 andapplication module 218 are illustrated as being separate features, it is recognized, for example, that such procedures may be combined together as one procedure or perhaps with other procedures, or otherwise further divided into a plurality of sub-procedures. -
Processor 210 may include any form of logic suitable for performing at least the techniques provided herein. For example,processor 210 may be operatively configurable based on instructions inmemory 214 to selectively initiate one or more routines that exploit motion data for use in other portions of the mobile device. - The
mobile station 200 may include auser interface 250 which provides any suitable interface systems, such as a microphone/speaker 252,keypad 254, and display 256 that allows user interaction with themobile station 200. The microphone/speaker 252 provides for voice communication services using the widearea network transceiver 204 and/or the localarea network transceiver 206. Thekeypad 254 comprises any suitable buttons for user input. Thedisplay 256 comprises any suitable display, such as, for example, a backlit LCD display, and may further include a touch screen display for additional user input modes. - As used herein,
mobile station 108 may be any portable or movable device or machine that is configurable to acquire wireless signals transmitted from, and transmit wireless signals to, one or more wireless communication devices or networks. As shown inFIGS. 1 and 2 , the mobile device is representative of such a portable wireless device. Thus, by way of example but not limitation,mobile device 108 may include a radio device, a cellular telephone device, a computing device, a personal communication system (PCS) device, or other like movable wireless communication equipped device, appliance, or machine. The term “mobile station” is also intended to include devices which communicate with a personal navigation device (PND), such as by short-range wireless, infrared, wire line connection, or other connection—regardless of whether satellite signal reception, assistance data reception, and/or position-related processing occurs at the device or at the PND. Also, “mobile station” is intended to include all devices, including wireless communication devices, computers, laptops, etc. which are capable of communication with a server, such as via the Internet, WiFi, or other network, and regardless of whether satellite signal reception, assistance data reception, and/or position-related processing occurs at the device, at a server, or at another device associated with the network. Any operable combination of the above are also considered a “mobile station.” - As used herein, the term “wireless device” may refer to any type of wireless communication device which may transfer information over a network and also have position determination and/or navigation functionality. The wireless device may be any cellular mobile terminal, personal communication system (PCS) device, personal navigation device, laptop, personal digital assistant, or any other suitable mobile device capable of receiving and processing network and/or SPS signals.
- I. Models for Wireless Position Determination
- A simplified environment is shown in
FIG. 3 for illustrating an exemplary technique for determining a position ofmobile station 108. Themobile station 108 may communicate wirelessly with a plurality of WAPs 311 using RF signals (e.g., 2.4 GHz) and standardized protocols for the modulation of the RF signals and the exchanging of information packets (e.g., IEEE 802.11). By extracting different types of information from the exchanged signals, and utilizing the layout of the network (i.e., the network geometry) themobile station 108 may determine its position in a predefined reference coordinate system. As shown inFIG. 3 , the mobile station may specify its position (x, y) using a two-dimensional coordinate system; however, embodiments disclosed herein are not so limited, and may also be applicable to determining positions using a three-dimensional coordinate system, if the extra dimension is desired. Additionally, while three WAPS 311 a-311 c are shown inFIG. 3 , embodiments may utilize additional WAPs and solve for position using techniques applicable to over-determined systems, which can average out various errors introduced by different noise effects, and thus improve the accuracy of the determined position. In order to determine its position (x, y), themobile station 108 may first need to determine the network geometry. The network geometry can include the positions of each of the WAPS 311 in a reference coordinate system ((xk, yk), where k=1, 2, 3). The network geometry may be provided to themobile station 108 in any manner, such as, for example, providing this information in beacon signals, providing the information using a dedicated server external on an external network, providing the information using uniform resource identifiers, etc. - The mobile station may then determine a distance (dk, where k=1, 2, 3) to each of the WAPs 311. As will be described in more detail below, there are a number of different approaches for estimating these distances (dk) by exploiting different characteristics of the RF signals exchanged between the
mobile station 108 and WAPs 311. Such characteristics may include, as will be discussed below, the round trip propagation time of the signals, and/or the strength of the signals (RSSI). - In other embodiments, the distances (dk) may in part be determined or refined using other sources of information that are not associated with the WAPs. For example, other positioning systems, such as GPS, may be used to provide a rough estimate of dk. (Note that it is likely that GPS may have insufficient signal in the anticipated operating environments (indoors, metropolitan, etc.) to provide a consistently accurate estimate of dk. However GPS signals may be combined with other information to assist in the position determination process.) Other relative positioning devices may reside in the
mobile station 108 which can be used as a basis to provide rough estimates of relative position and/or direction (e.g., on-board accelerometers). - Once each distance is determined, the mobile station can then solve for its position (x, y) by using a variety of known geometric techniques, such as, for example, trilateration. From
FIG. 3 , it can be seen that the position of themobile station 108 ideally lies at the intersection of the circles drawn using dotted lines. Each circle being defined by radius dk and center (xk, yk), where k=1, 2, 3. In practice, the intersection of these circles may not lie at a single point due to the noise and other errors in the networking system. - Sections 1 and 2 below will discuss in more detail the following wireless signal models: 1) exemplary models relating distance and wireless signal round trip time, and 2) exemplary models relating distance and wireless signal strength. As both of the exemplary models relate distance to different signal parameters, they may also be referred to as “ranging” models. One should appreciate that various embodiments of the invention are not limited to these ranging models, and that other wireless signal models may be used.
- 1. Determining Distance Using a Round Trip Time (RTT) Ranging Model
- Determining the distance between the
mobile station 108 and each WAP 311 may involve exploiting time information of the RF signals. In one embodiment, determining the round trip time (RTT) of signals exchanged between themobile station 108 and a WAP 311 can be performed and converted to a distance (dk). RTT techniques can measure the time between sending a data packet and receiving a response. These methods utilize calibration to remove any processing delays. In some environments, it may be assumed that the processing delays for the mobile station and the wireless access points are the same. However, such an assumption may not be true in practice. -
FIG. 4 is a diagram showing exemplary timings within a round trip time (RTT) occurring during a wireless probe request and a response. In one embodiment, the response may take the form of an acknowledgement packet (ACK); however, any type of response packet would be consistent with various embodiments of the invention. For example, an RTS (request to send) transmit packet and/or CTS (clear to send) response packet may be suitable. - To measure the RTT with respect to a given WAP 311 k, the
mobile station 108 may send a directed probe request to WAP 311 k, and then record the time the probe request packet was sent (tTX Packet) as shown on the mobile station (MS) timeline inFIG. 4 . After a propagation time tp from themobile station 108 to the WAP 311 k, the WAP will receive the packet. The WAP 311 k may then process the directed probe request and may send an ACK back to themobile station 108 after some processing time Δ as shown on the WAP timeline inFIG. 4 . After a second propagation time tp, themobile station 108 may record the time the ACK packet was received (tRX ACK) as shown on the MS time line. The mobile station may then determine the RTT as the time difference tRX ACK−tTX Packet. - If the
mobile station 108 knows the WAP 311 k processing time Δ, it can then estimate the propagation time to the WAP 311 k as (RTT−Δ)/2, which will correspond to the distance (dk) between themobile station 108 and the WAP 311 k. However, since themobile station 108 typically has no knowledge of the WAP 311 k processing time, themobile station 108 should obtain an accurate estimate of the processing time Δ before it can estimate the distance to the WAP 311 k. Various techniques presented below will describe embodiments where themobile station 108 processes the collected RSSI and RTT measurements to three or more WAPs 311 to accurately estimate the WAPs 311 processing times to allow the determination of the mobile station's position in space. - One will appreciate that by using a directed probe request based RTT ranging as described above, the
wireless device 108 does not need to associate with any of the WAPs 311. Since a directed access probe is considered a unicast packet, the WAP will typically ACK a successful decoding of an access probe packet after a prescribed period of time. The ability to do this ranging without having to associate with the WAPs 311 may greatly reduce the extra overhead involved. - The round-trip time between the
mobile station 108 and WAP k may be analyzed in a ranging model as follows: -
RTTk=2d k+Δk+ΔMS +n k - where:
- dk is the actual distance between the
mobile station 108 and WAP 311 k (ft). - Δk is the hardware processing time of the kth WAP (ns).
- ΔMS is the hardware processing time at the mobile station 108 (ns). Here may be assumed that the processing delay can be calibrated out the by the
mobile station 108. Accordingly, it can be set to be zero. -
n k =n z,k +n MS,k +n AP,k, which is the error in the RTT measurement (ns). - This error is the sum of the errors due to unknown WAP height, mobile station timing errors, and WAP timing errors.
- One should appreciate that given because the units of distance are provided in feet, and the units of distance are provided in nano-seconds, the velocity of light may be approximated as unity to simplify the model and reduce computation time by avoiding multiply operations.
- The overall noise nk may be the sum of the WAP height, mobile station timing, and WAP timing errors listed above. After combining all these errors, the resulting probability density function may be very close to Gaussian. Thus, the noise may be modeled as Gaussian with the distance-dependent mean and standard deviation.
- 2. Determining Distance Using Signal Strength (RSSI) Ranging Model
- The distance between each WAP 311 and the
mobile station 108 may also be estimated using information in addition to RTT for obtaining an estimate of the processing times explained above. This information is generally referred to herein as supplemental information. One form of supplemental information may take the form of the measured signal strength (RSSI) associated with the ACK packets received from each WAP 311.FIG. 5 is a graph illustrating an exemplary relationship of RSSI and the distance between a mobile station and a wireless access point. - In order to effectively exploit RSSI, the
mobile station 108 may utilize an approximate ranging model of distance, and variance of the distance, as a function of the received signal strength (RSSI). This model may be used when themobile station 108 is initially trying to learn the WAP processing delays. One feature of the RTT-based positioning algorithm is that the RSSI model can be extremely simple, without the need for extensive pre-deployment fingerprinting. In one embodiment, the model may assume that the only RSSI information known to the mobile station is the approximate maximum distance dmax, in feet, as a function of RSSI in dBm. Based on initial propagation simulations for an indoor environment with WAPs having a maximum range of 225 feet, this function is provided below in Eq. 2, which is graphed inFIG. 5 . -
- From the above distance bound, the
mobile station 108 may convert any measured RSSI to a distance estimate that may be modeled as normally distributed with the following relationships in Eqs. 3 and 4: -
- where the variance assumes that 4σd
RSSI =dmax. - In other embodiments, the mobile station could also model the minimum distance as a function of signal strength. However, for 2-D positioning, it is possible that a mobile station is close to a WAP in the X-Y plane (the distance utilized for positioning purposes), but sees arbitrary signal strength because of distance and obstacles in the Z-dimension. Thus, the simple RSSI model takes the minimum distance vs. signal strength as 0 ft for all RSSI.
- II. Combining Ranging Models for Wireless Position Determination
- The follow description provides details for a mobile station centric algorithm for position determination using ranging models which can be based upon RTT and other supplemental measurements, such as, for example, RSSI. In this embodiment, the
mobile device 108 may estimate distances to three or more wireless access points using the two or more ranging models. Each wireless access point has positions which are known to the mobile device by providing the network geometry information using techniques mentioned above. Using these distance estimates and the location of the wireless access points 311, themobile station 108 can determine its position using known positioning techniques. - The following assumptions may be utilized in this embodiment:
-
- 1. The
mobile station 108 has the WAP 311 positions in a local or global coordinate system (which may be obtained using methods described above). - 2. The
mobile station 108 is within radio range of at least three non co-linear WAPs 311 for two-dimensional positioning. - 3. There is a consistent processing time between when a WAP receives a unicast packet to when it sends an ACK response (i.e. the processing time has low-variance).
- 4. Each WAP 311 may have a different processing time delay.
- 5. The
mobile station 108 may be able to make a nanosecond scale measurement of RTT. This may require changes to the currentmobile station 108 chipsets in thewireless transceivers 204 and/or 206. - 6. The
mobile station 108 has an approximate model of distance as a function of RSSI. - 7. A complete set of RSSI and RTT measurements (to all target WAPs) can be completed fast enough such that the
mobile station 108 can be considered stationary while the measurements are taken; and - 8. The
mobile station 108 has a method of determining when it has moved to a new location based on significant changes in RSSI, RTT, elapsed time since the last set of measurements, and/or additional sensor data (such as for example, motion sensor 212).
- 1. The
-
FIG. 6 is a flowchart showing anexemplary method 600 for combining ranging models to improve the position determination of themobile station 108. The method may be performed at themobile station 108 onprocessor 210 using various modules and data stored inmemory 214. - Upon entering a new environment, the
mobile device 108 may initialize parameters/models associated with each WAP 311 k (where k=1, . . . , N) used for position determination (Block 605). - Accordingly, for each WAP 311 k, the parameters/models may include:
-
- 1. The location in a local or universal coordinate system.
- 2. An identifier for the network associated with the WAP (e.g., an SSID).
- 3. An identifier associated with the WAP hardware (e.g., a MACID).
- 4. An initial processing time delay estimate and variance.
- 5. For some embodiments, a model of distance vs. signal strength (RSSI).
- Once the above parameters are obtained (where they may have been downloaded from server 110), they may be stored in memory in a
parameter database 224. Parameters 1-3 above may be obtained from annotations from a map, as described above. In alternative embodiments, parameters 2 and 3 may be learned by themobile station 108 by listening to beacons that may be provided by the WAPs 311 (e.g., for a WiFi network,mobile station 108 may determine the SSID and the MACID from standard beacon signals). Parameter 4 above may be an a priori coarse initial estimate based upon WAP specifications, and/or a more refined value learned previously by themobile station 108. Alternatively, the initial processing time read from theparameter database 224 may have been provided from theserver 110, which may have been previously learned bymobile station 108, or by another mobile station. - As provided above in the description of
FIG. 4 , the processing time for each WAP 311 Δk may be the turnaround time for sending a response to a unicast packet. For example, in 802.11a or 802.11g WiFi networks, this processing time may correspond to a delay known as the short interframe space (SIFS) and typically lies within 16000±900 ns for a 20 MHz channel. Let Δk be the actual, unknown processing delay for WAP 311 k, and let {circumflex over (Δ)}k be the mobile station best estimate of the processing delay. Themobile station 108 can initially take {circumflex over (Δ)}k=16000 with a variance of -
- (assuming a normal distribution with 3σ=900). Alternatively, the mobile device can obtain the initial processing delays for a WAP 311 k by using its hardware identifier (e.g., a MACID) in a local cache that can be stored in
parameter database 224, or an external database to obtain an estimate of the processing time. - As will be discussed in more detail below, some embodiments may use a model of distance vs. RSSI for each WAP 311 that can map each signal strength measurement RSSIk to a distance that may be normally distributed with mean dRSSI,k and and variance σd
RSSI ,k 2. If no model is available, the mobile device can use a default model (such as, for example, the model described above in Eq. 2). - After initialization in
Block 605, themobile station 108 may measure round trip time (RTT) to each WAP 311 (B610). Here, themobile station 108, either using the widearea network transceiver 204, the localarea network transceiver 206, or a combination of the two, may send a directed probe request using the each WAP 311 based upon the hardware identifier (e.g., MACID for WAP 311 k). By using, for example, directed probe requests, the mobile station can perform RTT ranging measurements without associating with the WAPs 311. This can avoid the problem of not being able to utilize WAPs for RTT measurements which are locked down using some form of wireless encryption (e.g., WEP, WAP, RADIUS, etc.) and require a pass-code for access. However, one should appreciate that embodiments are not limited to probe request packets, and other types of packets may be used. Once a WAP processes the probe request, it may provide an ACK response that can be received by widearea network transceiver 204 and/or localarea network transceiver 206. Upon receiving the ACK response, themobile station 108 may compute the RTT usingRTT module 222. - As described above, based upon the RTT ranging model, each RTT measurement for WAP 311 k may be given by
-
RTTk=2d k+Δk +n k -
- where
- dk is the actual distance (ft) between the
mobile station 108 and the WAP 311 k;
- dk is the actual distance (ft) between the
- Δk is the actual processing time (ns) for WAP 311 k; and
- nk is Gaussian noise having a mean and variance depending on distance dk.
- where
- In the above equation, the units for distance and time are feet and nano-seconds, respectively, so the speed of light propagation may be estimated as ˜1 ft/ns. This approximation may be useful as it may obviate multiplication operations when converting between distance and time, thus saving processing time and power consumption.
- Using the RTT measurements and the aforementioned RTT ranging model, the distance between the mobile station and each WAP 311 k may be estimated (B615). The actual processing time delay Δk for each WAP 311 k may be previously determined using manufacturer specifications and/or calibration techniques, and subsequently stored in
parameter database 224 for used by themobile station 108. - Using a second model, a supplemental distance to each WAP may be estimated using another approach(es) which may not rely on the RTT of the signal, but rather some other supplemental information (B620). As used herein, the supplemental distance is the same distance (dk) as discussed above, but it is estimated using techniques other than RTT. In some embodiments, the supplemental information may exploit one or more alternative properties of the signals exchanged between the
mobile station 108 and the WAPs 311, such as, for example, amplitude and/or phase. In other embodiments, the supplemental information may a previously determined position. As discussed above, and presented in more detail below in the description ofFIG. 7 , amplitude (e.g., RSSI) may be used to estimate the supplemental distance. - In other embodiments, other independent sensors may provide supplemental information that may be useful. For example, accelerometers or other forms of networked position determination (AFLT, etc.) may help estimate distances between the WAPs and
mobile station 108. Additionally, while SPS signals may be weak and/or intermittent in some of the operating environments ofmethod 600, there may be, in some environments, adequate SPS signal strength which may be sufficient for determining supplemental distances between themobile station 108 and the WAPs 311. - For example, a mobile station with a set of valid ephemerides may be able to detect when it is indoors vs. outdoors based on its ability to detect satellites. This can help eliminate conditions when a portion of the initial bounded space is outside. If the system has provided WGS84 coordinates for the WAPs or a WGS84 landmark on a map, the
mobile station 108 may also be able to use its last-known position from SPS to limit its current position. - In another example, the
mobile station 108 may have motion sensor-based information (from motion sensor 212) which may relate its current position to a previously established position. If, for example, a mobile station includes an accelerometer, it may know that it has experienced at most 4 meters of movement from a previously established position It can use that data to limit the range of locations at which it may currently be. A triaxial accelerometer and altimeter might also be combined to determine movement along the Z axis. - Once the two distance estimates to each WAP are determined in B615 and B620, the distance estimates may be processed to generate a combined distance estimate to each WAP (B625). This processing may include any type of statistical and/or deterministic approaches, including kalman filters, fading memory filters, minimal mean square error (MMSE) techniques, etc.
- Using the combined distance to each WAP 311 k, the
mobile station 108 may determine its position using conventional trilateration methods based upon the combined distances and the network geometry (B630). -
FIG. 7 is flowchart of anotherembodiment 700 providing an alternative approach to the process blocks 615-625 illustrated inFIG. 6 . InFIG. 7 , the supplemental distances are based upon the measured signal strength RSSI associated with the ACK responses provided by the WAPs 311. The RSSI measurements for each WAP may be mapped to distances using the models described above. These RSSI-based distances may be used in conjunction with RTT-based distances to determine position of themobile station 108, and to calibrate the processing times of the WAPs 311. - Further referring to
FIG. 7 , after the RTTs to each WAP 311 k have been measured (610,FIG. 6 ), the distance to each WAP 311 k is determined based upon the RSSI (B715). The measured RSSIk values (for each WAP) may be the average of the RTT ranging packets measured from each WAP 311 k. Themobile station 108 may determine the distance to each WAP 311 k using RSSIk based upon the following equation. -
d RSSI,k =f d(RSSIk) -
σ2 dRSSI ,k =f σ2 (RSSIk) -
- where
- dRSSI,k is the distance from
mobile station 108 to WAP 311 k. - σRSSI,k 2 is the variance the distance dRSSI,k based upon RSSIk.
- fd(RSSIk) is a mathematical model relating distance and RSSI.
- fσ
2 (RSSIk) is a mathematical model relating variance and RSSI.
- dRSSI,k is the distance from
- where
- The
mobile station 108 may then estimate the mean and variance of the RTT noise nk. Once themobile station 108 determines the RTT noise, the following can be estimated. -
{circumflex over (μ)}n,k=μn,k(d RSSI,k) -
{circumflex over (σ)}n,k 2=σn,k 2(d RSSI,k+2σdRSSI ,k) -
- where
- {circumflex over (μ)}n,k is an estimate of the mean of the RTT noise.
- {circumflex over (σ)}n,k 2 is an estimate of the variance of the RTT noise.
- μn,k(dRSSI,k) is a mathematical model of the mean RTT noise as a function of distance to WAP 311 k.
- σn,k 2(dRSSI,k+2σd
RSSI ,k) is a mathematical model of the variance of the RTT noise as a function of distance to the WAP 311 k, where the mobile device adds 2σdRSSI ,k to take a more conservative estimate of the RTT noise variance.
- where
- When the
mobile station 108 has no knowledge of the RTT statistics, it may assume, for example, that {circumflex over (μ)}n,k=0 and {circumflex over (σ)}n,k 2=50, where RTT timing is estimated using a 20 MHz clock with 50 ns resolution. - The
mobile device 108 may then determine the distance to each WAP 311 k based upon the measured RTT (B720), and may also determine the variance of the distance based on the measured RTT using the following equations. -
-
- where:
- dRTT,k is the RTT-based distance to each WAP 311 k.
-
RTT k is the averaged RTT time over mk measurements for WAP 311 k. - {circumflex over (Δ)}k is the estimated processing time for WAP 311 k
- σd
RTT ,k 2 is the variance of dRTT,k.
-
-
- is the variance of {circumflex over (Δ)}k
- {circumflex over (σ)}n,k 2 is an estimate of the variance of RTT noise.
- mk is the number RTT measurements associated with WAP 311 k.
- The
mobile station 108 may truncate dRTT,k if necessary to fall between 0 and the maximum WAP 311 range. - Once the RTT-based distance and variance are determined as above, the
mobile station 108 may determine a combined distance estimate to each WAP 311 k (B723). In one embodiment, the combined distance estimate may be performed using a weighted combination of the RTT-based distance dRTT,k and the RSSI-based distance dRSSI,k for each WAP 311 k to determine a distance estimate dest,k. This distance estimate may be determined by using a Minimum Mean Square Error (MMSE) estimator based on the following equation: -
-
- with variance estimated as:
-
σdest ,k 2=(σdRSSI ,k −2+σdRTT ,k −2)−1. - The above equations may assume that the RSSI and RTT noise can be modeled as uncorrelated and Gaussian.
- The above distance estimator may rely on RSSI when σd
RTT ,k 2 is large, either from uncertainty in the processing time or very noisy RTT measurements. However, once the processing time is known (e.g., low -
- the above MMSE estimator may put more weight on the RTT measurements.
- Once the set of distances {dest,k} to each WAP 311 k have been determined, the method may then proceed to Block 725, where the position of the
mobile device 108 may be determined using known trilateration techniques. In other embodiments, triangulation or other positioning algorithms may be used. The distances with lower variance σdest ,k 2 may be given more weight in the algorithm. The trilateration algorithm may also utilize past localization data to perform trajectory smoothing using, for example, Kalman filtering. - III. Updating the Ranging Models to Improve Position Determination
- In order to improve the position determination process, various embodiments of the invention provide for updating the ranging models to improve their accuracy in an adaptive manner. In one embodiment, the processing times {circumflex over (Δ)}k associated with each WAP 311 k used in the RTT ranging model may be updated using an iterative approach. Thus, these processing times {circumflex over (Δ)}k can be refined through a “learning” process to arrive at better values. In other embodiments, the RSSI ranging models may be adjusted using an adaptive process to improve their fidelity. Different aspects of the models may be continuously monitored and updated if it is determined that the model should be improved.
-
FIG. 8 shows a flowchart illustrating anexemplary method 800 for adaptively improving a wireless signal model. Themobile station 108 may measure the distance to each WAP 311 k using a wireless signal model (B815). While only one model is discussed here for ease of explanation, other embodiments may use a plurality of wireless signal models. A position of themobile station 108 may then be calculated using conventional localization (e.g., trilateration) techniques (B820). Once themobile station 108 position has been estimated,mobile station 108 may compute the distance between the estimated position and each WAP 311 k. Using the computed distances determined in B825 and the measured distances determined in B815,mobile station 108 may update the wireless signal model to improve its fidelity. As will be shown below, for example, the RTT ranging model may be improved by updated the processing time {circumflex over (Δ)}k associated with each WAP 311 k. In other embodiments, coefficients associated with the RSSI ranging model may be updated, as will also be described in more detail below. - Once the model is updated in B830, a test may be performed to determine if the model has converged (B835). This test may be a simple threshold of a parameter of interest in the model, or may be a more sophisticated metric based on statistical measurements. Once the model has converged, any further iterations may only bring marginal improvements to the model and are thus may not be worth performing. If no further convergence is observed in B835, then subsequent position determinations may be performed using the updated wireless model (B840).
- 3.1 Updating the RTT Model Using Minimum Mean Square Error
- Further referring to
FIG. 8 , in another embodiment of theprocess 800 described above, the details are provided below when the wireless signal model is the RTT ranging model. Once the position of the mobile station has been determined, themobile station 108 may update the estimated processing times {circumflex over (Δ)}k for each WAP 311 k based upon the position. After performing the position determination in B820 (e.g., trilateration), themobile station 108 has the option of updating a local (e.g., parameter database 224) or remote database with information about the processing times {circumflex over (Δ)}k, observed WAPs 311 k (e.g., based upon MACID). Embodiments allow the localization system to learn and adapt over time by varying each {circumflex over (Δ)}k, without requiring a substantial up-front deployment cost. - Below more details are presented for allowing the
mobile station 108 to update its estimate of the processing delay. This algorithm may assume that the trilateration error at the current position in space is uncorrelated with previous measurements. That is, themobile station 108 should perform this processing delay update procedure when it has moved sufficiently far from its previous location in space. Themobile station 108 could estimate such movement detecting a large change in the RSSI or RTT measurements and/or by utilizing other sensors (e.g., motion sensor 212). - After trilateration, the
mobile station 108 may calculate the distance dtri,k between the estimated position and WAP 311 k. The average round-trip timeRTTk and the post-trilateration distance dtri,k may be related via the following matrix equation: -
- where Δk is the exact processing time delay for WAP 311 k, dk is the exact distance to WAP 311 k,
nk is the average noise in the RTT measurements, and εk is the post-trilateration error. Let us define the post-trilateration error variance, which is unknown, as σdtri ,k 2=E└εk 2┘. A reasonable heuristic may be to take the average variance of the pre-trilateration distances, modeled using the following equation, as trilateration may have an averaging effect on the positioning error: -
- The
mobile station 108 can model all variables on the right side of the above matrix equation as being uncorrelated and normally distributed as described below. -
- The
mobile station 108 can then form an updated estimate of the processing time delays using minimum mean square error (MMSE) techniques as shown using the equations below: -
- The new processing time {circumflex over (Δ)}k,new may be a weighted sum of the current processing time {circumflex over (Δ)}k and a measured processing time {circumflex over (Δ)}k,measured that may be derived from the RTT measurements, the RSSI distances, and the post-trilateration distances. The weights may depend on the estimated variance of the processing time. During the early stages of learning, typically
-
- and the processing time is updated with {circumflex over (Δ)}k,new≈{circumflex over (Δ)}k,measured. During the intermediate stages {circumflex over (Δ)}k,new, may be updated whenever the measurements cause a substantial decrease in
-
- Once {circumflex over (Δ)}k has converged, based on
-
- the processing time may reach a steady state with {circumflex over (Δ)}k,new≈{circumflex over (Δ)}k.
- 3.2 Updating the RSSI Model Using Iterative Techniques
- In another embodiment of the process shown in
FIG. 8 , the wireless signal model may be based upon an RSSI ranging model.FIG. 9 is a graph of exemplary ranging models used to determine the distance between a mobile station and a wireless access point based upon RSSI. In various embodiments, themobile station 108 may “listen” for signals transmitted by each WAP 311 k, where the signals may be in the form of beacons. The signal strength of each transmission may be converted to a distance using a model that may be based on the deployment environment, such as, for example, an office building or shopping mall. As shown inFIG. 9 the exemplary plot of RSSI vs. distance is representative of an indoor environment, with upper and lower bounds being shown. These bounds may be based upon the variance of the RSSI. In other embodiments, as will be described in more detail below forFIG. 10 , the model may be based on propagation models based upon a map of the WAP deployment. - The models may be used to convert signal strength to a distance for each WAP 311 k. An initial distance estimate may be determined by the midpoint of the min/max range from the RSSI, although more sophisticated approaches may be used. Trilateration may be performed using the initial distance estimates to roughly approximate the position of the
mobile station 108. In some embodiments, the variance of the RSSI measurements may be used to weight distance estimates based upon confidence prior to trilateration (e.g., low variance distance estimates may be weighted higher than high variance estimates). Moreover, multiple measurements may be performed to each WAP 311 in a short time interval to reduce noise via averaging, filtering, and/or other processing. In other embodiments, various model(s) may provide an average distance, and a variance in this distance, as a function of RSSI. - Advantages of using such a model may include: avoiding time-consuming fingerprinting of the environment of interest; generating no additional wireless traffic to determine the estimates; and utilizing standard wireless protocols (e.g., 802.11 a/b/g/n, etc.) without having to alter them.
-
FIG. 10 illustrates a diagram of an exemplaryindoor environment 1000 which may be modeled to improve distance estimates between wireless access points and a mobile station based upon RSSI. In this environment, themobile station 108 may be able to exchange wireless signals with a plurality of Local Area Network Wireless Access Points (LAN-WAPs) 1006. Some LAN-WAPs, for example, 1006 a, 1006 c, and 1006 e, may be within direct line of sight with themobile station 108. One may expect, in the absence of other forms of electronic interference, that the signals received from LAN-WAPs 1006 a 1006 c, and 1006 e would be relatively strong. Other LAN-WAPs, for example 1006 b and 1006 d, may reside in different rooms, and may have the signals attenuated by building obstructions such as walls. The attenuation of signals exchanged with LAN-WAPs indoor environment 1000. Such models may include the geometry of each LAN-WAP in relation to themobile device 108, and/or geometry of each LAN-WAP in relation to the obstructions within the environment. Furthermore, such models may also include other factors affecting the signal, such as, for example, the material of the obstructions to module their attenuation effects (e.g. metal walls versus drywall), the radiation patterns of the LAN-WAP antennas, interfering signals from undesired sources (e.g., other WAPs external to the LAN), the make and model of each individual LAN-WAP 1006, etc. - In some embodiments, the mobile station may already be receiving the LAN-WAP network geometry through a particular channel. Such as channel may be used to provide information about the local conditions which may be presumed to exist. For example, the channel may be used to provide a ray-tracing based model of the local conditions which would improve on the fidelity of the base RSSI model. This model might be provided in the forms as detailed as the ray-tracing of the venue or as simple as a reference to a known set of general models (e.g. “auditorium”, “cube farm”, “high-rise office”). In other embodiments, a full map of the environment may be provided, and the
mobile station 108 may also produce its own ray-tracing model, and/or perform pattern-matching to pick a more appropriate RSSI model. - In other embodiments, the RSSI model may be dynamic in nature, and thus can be refined in an iterative manner over time as the
mobile station 108 moves throughout theenvironment 1000. For example, themobile station 108 may initially start with a simple model of how the RSSI behaves with distance (for example, as described above inFIG. 5 andFIG. 9 ), using a ray-tracing model generated from a map of the environment, and/or from a generic model such as office, warehouse, mall, etc. Themobile station 108 may then move around the environment, localizing itself using the positioning algorithm described in above. Deviations from the model may be compared, and the model updated, based upon the computed position of themobile station 108. - 3.3 Updating the RTT Module by Bounding Range Using the RSSI Model
-
FIG. 11 is a flowchart showing anotherexemplary process 1100 for which uses both RTT and RSSI ranging modules for determining the position of a mobile station and adaptively improving the RTT model. - In this embodiment, the mobile station may determine an initial estimation of the WAP 311 processing times based on the known limitations of the WAP radio ranges. The
mobile station 108 may calculate its position using a trilateration algorithm, where typically at least three WAPs 311 are visible in two-dimensional space. The mobile station may perform updates to prior estimates of the WAP 311 processing times by comparing its most recent calculated position with prior position solutions. Using the updated position calculations and additional RTT measurements, themobile station 108 may continue refining the processing time estimate as more measurements are taken. The details of this process are presented below. -
Process 1100 may start out by having themobile device 108 initialize various parameters associated with each WAP 311 k (B1105). This process may be similar to the initialization described in B605. Themobile station 108 may then perform RTT measurements to each WAP 311 k (B1110). As before, the model for RTT may be provided as: -
RTTk=2d k+Δk +n k, -
- where
- dk is the actual distance (ft) between the
mobile station 108 and the WAP 311 k; - Δk is the actual processing time (ns) for WAP 311 k; and
- nk is uniform noise having a mean and variance depending on distance dk.
- dk is the actual distance (ft) between the
- where
- As in the previous embodiment, the foregoing method may estimate the processing time Δk for each WAP 311 k. Note that this model differs from model used in the
aforementioned process 800 described above in 3.1, in that the noise nk may be modeled here using a uniform distribution, whereas in process 800 a Gaussian distribution may be used. The noise nk may be mitigated by averaging several measurements taken in the same location. This assumption may be reasonable if themobile station 108 is stationary or moving at low speed. - One may note that, as presented above, because the units for distance and time are in feet and nano-seconds, respectively, the speed of light propagation may be estimated as ˜1 ft/ns.
- Once RTTk are determined, the mobile station may determine an initial estimate of each WAP 311 k processing time {circumflex over (Δ)}k based upon signal strength measurements (B1115).
- By determining the strength of one or more received packets used in making the RTT measurements in
Block 1110, themobile station 108 can bracket the distance dk a WAP 311 k to be in an interval between a maximum range (Rk,min) and a minimum range (Rk,min), as represented by the equation below. -
Rk,min≦dk≦Rk,max - If the processing time is different for each WAP 311 k, the initial estimate of processing time {circumflex over (Δ)}k,init may be approximated as the midpoint of the above interval for each WAP 311 k:
-
{circumflex over (Δ)}k,init =E[RTTk −n k −R k,min −R k,max]=RTTk −R k,min −R k,max. - If the processing time is the same for each WAP 311 k, the initial estimate of processing time {circumflex over (Δ)}k,init may be approximated as the midpoint of the intersection of the above intervals for WAPs 311:
-
- The
process 1100 may next calculate the position of the mobile station based on the measured RTTs and then WAP processing time estimates (B1120). To determine position, themobile station 108 may convert the RTT measurements associated with each WAP 311 k to an estimated distance {circumflex over (d)}k. The estimated distance to each WAP 311 k may be determined using the following equation. -
- Once the set of estimated distances {{circumflex over (d)}} are determented for the available WAPs 311 k, the
mobile station 108 may calculate its position (x,y) using trilateration. Typically, the error in the calculated position (x,y) is less that the error associated with each estimated distance. - The process may then update the distance to each WAP 311 then determine a new processing time for each WAP based upon the new distance (B1125). The new distance to each WAP 311 k may be determined using the following equation.
-
{circumflex over (d)}′ k=∥(x,y)−(x k ,y k)∥ -
- where
- (x, y) is the most recent position of the mobile station
- (xk , yk) is the position of each WAP 311 k
- From the new distance estimate {circumflex over (d)}′k, the
mobile station 108 may update the processing time estimate {circumflex over (Δ)}′k using the following equation, when each WAP 311 k has a different processing time. -
{circumflex over (Δ)}′k=RTTk−2{circumflex over (d)}′ k - If it may be assumed that each WAP 311 k has substantially the same processing time, the following equation may be used to update the processing time estimate.
-
{circumflex over (Δ)}′=mean(RTTk−2{circumflex over (d)}′ k) - A test may be performed to determine if further iterations should be made to further refine the processing time estimates. In one embodiment, the WAP 311 processing estimates may be tested to determine if they have converged (B1135). Alternatively, a test may be performed on the distances to each WAP, or a mathematical functions thereof (e.g., mean distances), to determine whether further refinements to the processing time should be performed. If further iterations are useful, the
process 1100 may loop back toBlock 1140, where the round trip time to each WAP 311 k is measured again. One should appreciate that multiple measurements may be performed, and may be mathematically combined with prior measurements (e.g., averaging, FIR/IIR filtering, etc.), to mitigate the effects of noise. The new RTT measurements may then be used in a reiteration ofBlocks 1120 through 1125 to refine the processing time estimate {circumflex over (Δ)}′k associated with each WAP 311 k. - If in B1135 it is determined that no further refinements to processing time should be performed, the
process 1100 may then monitor the position of themobile station 108 to determine whether its position has changed (B1141). If so, themobile station 108 may repeat theprocess 1100 starting looping back toBlock 1110. In this case, if new WAPs are discovered, the initial processing times may be computed as described above in Block 1115. However, for WAPs that are in still in range which already have had refined processing times determined (assuming that they are different), the refined times for these WAPs may be used to improve the efficiency of theprocess 1100. If it is determined in Block 1141 that the position of themobile station 108 has not changed, the mobile station may monitor its position to detect changes in position (B1142). - In some embodiments, determining whether the
mobile station 108 has changed position in Block 1141 may be accomplished using themotion sensor 212, or some other form of position determination (e.g., AFLT, GPS, etc.) In these embodiments, the motion state of the mobile device may be monitored, and once motion is detected, the process resumes as described above. - In other embodiments, where the mobile station may not have a
motion sensor 212, or the environment prevents motion detection through other means (e.g., insufficient signal coverage for GPS and/or AFLT), the mobile station may monitor its position inBlock 1142 by continuing to measure RTT to each WAP 311 k using the updated processing times (B1145), and then determining its position (B1150) based upon the updated. WAP processing time as described above. - Those of skill in the art will appreciate that information and signals may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
- Further, those of skill in the art will appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
- The methodologies described herein may be implemented by various means depending upon the application. For example, these methodologies may be implemented in hardware, firmware, software, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, electronic devices, other electronic units designed to perform the functions described herein, or a combination thereof.
- For a firmware and/or software implementation, the methodologies may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. Any machine-readable medium tangibly embodying instructions may be used in implementing the methodologies described herein. For example, software codes may be stored in a memory and executed by a processor unit. Memory may be implemented within the processor unit or external to the processor unit. As used herein the term “memory” refers to any type of long term, short term, volatile, nonvolatile, or other memory and is not to be limited to any particular type of memory or number of memories, or type of media upon which memory is stored.
- If implemented in firmware and/or software, the functions may be stored as one or more instructions or code on a computer-readable medium. Examples include computer-readable media encoded with a data structure and computer-readable media encoded with a computer program. Computer-readable media includes physical computer storage media. A storage medium may be any available medium that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired program code in the form of instructions or data structures and that can be accessed by a computer; disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
- In addition to storage on computer readable medium, instructions and/or data may be provided as signals on transmission media included in a communication apparatus. For example, a communication apparatus may include a transceiver having signals indicative of instructions and data. The instructions and data are configured to cause one or more processors to implement the functions outlined in the claims. That is, the communication apparatus includes transmission media with signals indicative of information to perform disclosed functions. At a first time, the transmission media included in the communication apparatus may include a first portion of the information to perform the disclosed functions, while at a second time the transmission media included in the communication apparatus may include a second portion of the information to perform the disclosed functions.
- While the foregoing disclosure shows illustrative embodiments of the invention, it should be noted that various changes and modifications could be made herein without departing from the scope of the invention as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the embodiments of the invention described herein need not be performed in any particular order. Furthermore, although elements of the invention may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
Claims (117)
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Cited By (199)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100128637A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Network-centric determination of node processing delay |
US20100130230A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Beacon sectoring for position determination |
US20100130229A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Wireless-based positioning adjustments using a motion sensor |
US20100128617A1 (en) * | 2008-11-25 | 2010-05-27 | Qualcomm Incorporated | Method and apparatus for two-way ranging |
US20100159958A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US20100157848A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Method and apparatus for providing and utilizing local maps and annotations in location determination |
US20100172259A1 (en) * | 2009-01-05 | 2010-07-08 | Qualcomm Incorporated | Detection Of Falsified Wireless Access Points |
US20100235091A1 (en) * | 2009-03-13 | 2010-09-16 | Qualcomm Incorporated | Human assisted techniques for providing local maps and location-specific annotated data |
US20110149756A1 (en) * | 2009-12-23 | 2011-06-23 | Verizon Patent And Licensing Inc. | Packet based location provisioning in wireless networks |
US20110170524A1 (en) * | 2009-12-23 | 2011-07-14 | Arslan Tughrul Sati | Locating electromagnetic signal sources |
US20110207476A1 (en) * | 2010-01-26 | 2011-08-25 | Murad Qahwash | GPS-Based Location System and Method |
US20110239226A1 (en) * | 2010-03-23 | 2011-09-29 | Cesare Placanica | Controlling congestion in message-oriented middleware |
US20120007779A1 (en) * | 2009-03-19 | 2012-01-12 | Martin Klepal | location and tracking system |
US20120013475A1 (en) * | 2010-07-16 | 2012-01-19 | Qualcomm Incorporated | Location determination using radio wave measurements and pressure measurements |
US20120122484A1 (en) * | 2009-07-17 | 2012-05-17 | Maksym Marchenko | Method for calibrating a propagation-time-based localization system |
US20120129545A1 (en) * | 2010-11-19 | 2012-05-24 | IIlume Software, Inc. | Systems and methods for selectively invoking positioning systems for mobile device control applications using multiple sensing modalities |
US20120140647A1 (en) * | 2010-12-06 | 2012-06-07 | Jie Gao | Communications Techniques For Bursty Noise Environments |
US8233457B1 (en) * | 2009-09-03 | 2012-07-31 | Qualcomm Atheros, Inc. | Synchronization-free station locator in wireless network |
US20120201143A1 (en) * | 2011-02-07 | 2012-08-09 | Schmidt Jeffrey C | System and method for managing wireless connections and radio resources |
US20120269080A1 (en) * | 2011-04-25 | 2012-10-25 | Domenico Giustiniano | Carrier sense-based ranging |
US20120295654A1 (en) * | 2011-05-19 | 2012-11-22 | Qualcomm Incorporated | Measurements and information gathering in a wireless network environment |
US20120309427A1 (en) * | 2003-04-03 | 2012-12-06 | Network Security Technologies, Inc. | Method and system for locating a wireless access device in a wireless network |
US20120307675A1 (en) * | 2010-02-26 | 2012-12-06 | University Of Cape Town | system and method for estimating round-trip time in telecommuncation networks |
US20120327803A1 (en) * | 2010-03-08 | 2012-12-27 | Neung-Hyung Lee | Apparatus and method for forwarding packet by evolved node-b in wireless communication system |
WO2013010204A1 (en) * | 2011-07-20 | 2013-01-24 | Commonwealth Scientific And Industrial Research Organisation | Wireless localisation system |
US20130021912A1 (en) * | 2011-07-22 | 2013-01-24 | Keir Finlow-Bates | System and method for testing wireless position locating |
CN102905368A (en) * | 2012-10-18 | 2013-01-30 | 无锡儒安科技有限公司 | Mobile auxiliary indoor positioning method and system based on smart phone platform |
US8370629B1 (en) | 2010-05-07 | 2013-02-05 | Qualcomm Incorporated | Trusted hybrid location system |
US20130077505A1 (en) * | 2011-09-28 | 2013-03-28 | Avaya Inc. | Method And Apparatus For Using Received Signal Strength Indicator (RSSI) Filtering To Provide Air-Time Optimization In Wireless Networks |
US20130081101A1 (en) * | 2011-09-27 | 2013-03-28 | Amazon Technologies, Inc. | Policy compliance-based secure data access |
WO2013059636A1 (en) * | 2011-10-21 | 2013-04-25 | Qualcomm Incorporated | Time of arrival based wireless positioning system |
US20130122851A1 (en) * | 2011-11-14 | 2013-05-16 | Avaya Inc. | Determination by psaps of caller location based on the wifi hot spots detected and reported by the caller's device(s) |
US20130130718A1 (en) * | 2011-11-18 | 2013-05-23 | Samsung Electronics Co., Ltd. | Method and apparatus for providing an alert on a user equipment entering an alerting area |
WO2013074424A1 (en) * | 2011-11-15 | 2013-05-23 | Qualcomm Incorporated | Method and apparatus for determining distance in a wi-fi network |
US8457655B2 (en) | 2011-09-19 | 2013-06-04 | Qualcomm Incorporated | Hybrid time of arrival based positioning system |
US20130143590A1 (en) * | 2011-12-05 | 2013-06-06 | Qualcomm Incorporated | Methods and apparatuses for use in selecting a transmitting device for use in a positioning function |
WO2013086393A1 (en) * | 2011-12-08 | 2013-06-13 | Qualcomm Incorporated | Positioning technique for wireless communication system |
US20130155102A1 (en) * | 2011-12-20 | 2013-06-20 | Honeywell International Inc. | Systems and methods of accuracy mapping in a location tracking system |
US8489114B2 (en) | 2011-09-19 | 2013-07-16 | Qualcomm Incorporated | Time difference of arrival based positioning system |
US8509809B2 (en) | 2011-06-10 | 2013-08-13 | Qualcomm Incorporated | Third party device location estimation in wireless communication networks |
US8521181B2 (en) | 2011-09-19 | 2013-08-27 | Qualcomm Incorporated | Time of arrival based positioning system |
US20130223261A1 (en) * | 2008-11-21 | 2013-08-29 | Qualcomm Incorporated | Processing time determination for wireless position determination |
US20130250931A1 (en) * | 2012-03-13 | 2013-09-26 | Qualcomm Incorporated | Limiting wireless discovery range |
US8547870B2 (en) | 2011-06-07 | 2013-10-01 | Qualcomm Incorporated | Hybrid positioning mechanism for wireless communication devices |
US20130316754A1 (en) * | 2011-02-17 | 2013-11-28 | Robert Skog | Devices, methods, and computer programs for detecting potential displacement of a wireless transceiver |
US20130324149A1 (en) * | 2012-06-04 | 2013-12-05 | At&T Mobility Ii Llc | Adaptive calibration of measurements for a wireless radio network |
US20130329702A1 (en) * | 2012-06-11 | 2013-12-12 | Qualcomm Incorporated | Inter-Frame Spacing Duration for Sub-1 Gigahertz Wireless Networks |
US20130337829A1 (en) * | 2012-06-15 | 2013-12-19 | At&T Intellectual Property I, L.P. | Geographic redundancy determination for time based location information in a wireless radio network |
US20130346217A1 (en) * | 2012-06-22 | 2013-12-26 | Cisco Technology, Inc. | Mobile device location analytics for use in content selection |
US20140058778A1 (en) * | 2012-08-24 | 2014-02-27 | Vmware, Inc. | Location-aware calendaring |
US20140073352A1 (en) * | 2012-09-11 | 2014-03-13 | Qualcomm Incorporated | Method for precise location determination |
US8675539B1 (en) | 2010-05-07 | 2014-03-18 | Qualcomm Incorporated | Management-packet communication of GPS satellite positions |
US8681741B1 (en) | 2010-05-07 | 2014-03-25 | Qualcomm Incorporated | Autonomous hybrid WLAN/GPS location self-awareness |
US8692667B2 (en) | 2011-01-19 | 2014-04-08 | Qualcomm Incorporated | Methods and apparatus for distributed learning of parameters of a fingerprint prediction map model |
US20140104109A1 (en) * | 2009-12-28 | 2014-04-17 | Maxlinear, Inc. | GNSS Reception Using Distributed Time Synchronization |
US20140145873A1 (en) * | 2012-11-27 | 2014-05-29 | At&T Intellectual Property I, L.P. | Electromagnetic Reflection Profiles |
US8743699B1 (en) | 2010-05-07 | 2014-06-03 | Qualcomm Incorporated | RFID tag assisted GPS receiver system |
WO2014089531A1 (en) * | 2012-12-06 | 2014-06-12 | Qualcomm Incorporated | Providing and utilizing maps in location determination based on rssi and rtt data |
WO2014107280A1 (en) * | 2013-01-03 | 2014-07-10 | Qualcomm Incorporated | Processing delay estimate based on crowdsourcing data |
US8781492B2 (en) | 2010-04-30 | 2014-07-15 | Qualcomm Incorporated | Device for round trip time measurements |
WO2014108757A1 (en) * | 2013-01-11 | 2014-07-17 | Nokia Corporation | Obtaining information for radio channel modeling |
WO2014109997A1 (en) * | 2013-01-08 | 2014-07-17 | Qualcomm Incorporated | Method, system and/or device for adjusting expected received signal strength signature values |
WO2014113219A2 (en) * | 2013-01-15 | 2014-07-24 | Gojo Industries, Inc. | Systems and methods for locating a public facility |
US20140206381A1 (en) * | 2011-10-31 | 2014-07-24 | Panasonic Corporation | Position estimation device, position estimation method, program, and integrated circuit |
US20140213290A1 (en) * | 2011-10-31 | 2014-07-31 | Panasonic Corporation | Position estimation device, position estimation method, program and integrated circuit |
WO2014120403A1 (en) * | 2013-01-29 | 2014-08-07 | Qualcomm Incorporated | System and method for choosing suitable access points |
US8805403B2 (en) * | 2012-04-05 | 2014-08-12 | Qualcomm Incorporated | Automatic data accuracy maintenance in a Wi-Fi access point location database |
US8818424B2 (en) * | 2013-01-03 | 2014-08-26 | Qualcomm Incorporated | Inter-AP distance estimation using crowd sourcing |
US20140269400A1 (en) * | 2013-03-14 | 2014-09-18 | Qualcomm Incorporated | Broadcasting short interframe space information for location purposes |
US20140329543A1 (en) * | 2012-02-22 | 2014-11-06 | Ntt Docomo, Inc. | Radio communication device, radio communication system, and position estimation method |
US8886219B2 (en) | 2010-02-25 | 2014-11-11 | At&T Mobility Ii Llc | Timed fingerprint locating in wireless networks |
US8892112B2 (en) | 2011-07-21 | 2014-11-18 | At&T Mobility Ii Llc | Selection of a radio access bearer resource based on radio access bearer resource historical information |
US8892054B2 (en) | 2012-07-17 | 2014-11-18 | At&T Mobility Ii Llc | Facilitation of delay error correction in timing-based location systems |
US8897802B2 (en) | 2011-07-21 | 2014-11-25 | At&T Mobility Ii Llc | Selection of a radio access technology resource based on radio access technology resource historical information |
US8909247B2 (en) | 2011-11-08 | 2014-12-09 | At&T Mobility Ii Llc | Location based sharing of a network access credential |
US8909244B2 (en) | 2011-06-28 | 2014-12-09 | Qualcomm Incorporated | Distributed positioning mechanism for wireless communication devices |
US20140370884A1 (en) * | 2013-06-12 | 2014-12-18 | Andrew Wireless Systems Gmbh | Optimization System for Distributed Antenna System |
US8925104B2 (en) | 2012-04-13 | 2014-12-30 | At&T Mobility Ii Llc | Event driven permissive sharing of information |
US8923134B2 (en) | 2011-08-29 | 2014-12-30 | At&T Mobility Ii Llc | Prioritizing network failure tickets using mobile location data |
US20150005016A1 (en) * | 2013-06-26 | 2015-01-01 | Qualcomm Incorporated | Utilizing motion detection in estimating variability of positioning related metrics |
US8929914B2 (en) | 2009-01-23 | 2015-01-06 | At&T Mobility Ii Llc | Compensation of propagation delays of wireless signals |
US8938258B2 (en) | 2012-06-14 | 2015-01-20 | At&T Mobility Ii Llc | Reference based location information for a wireless network |
US8938211B2 (en) | 2008-12-22 | 2015-01-20 | Qualcomm Incorporated | Providing and utilizing maps in location determination based on RSSI and RTT data |
WO2015008953A1 (en) * | 2013-07-18 | 2015-01-22 | Lg Electronics Inc. | Method and apparatus for calculating location of electronic device |
US20150031393A1 (en) * | 2013-07-23 | 2015-01-29 | Square, Inc. | Computing distances of devices |
US20150045055A1 (en) * | 2013-08-06 | 2015-02-12 | Gaby Prechner | Time of flight responders |
US20150055492A1 (en) * | 2013-08-21 | 2015-02-26 | Qualcomm Incorporated | System and method for selecting a wi-fi access point for position determnation |
US8970432B2 (en) | 2011-11-28 | 2015-03-03 | At&T Mobility Ii Llc | Femtocell calibration for timing based locating systems |
US8996031B2 (en) | 2010-08-27 | 2015-03-31 | At&T Mobility Ii Llc | Location estimation of a mobile device in a UMTS network |
US9008684B2 (en) | 2010-02-25 | 2015-04-14 | At&T Mobility Ii Llc | Sharing timed fingerprint location information |
US9009629B2 (en) | 2010-12-01 | 2015-04-14 | At&T Mobility Ii Llc | Motion-based user interface feature subsets |
US9008698B2 (en) | 2011-07-21 | 2015-04-14 | At&T Mobility Ii Llc | Location analytics employing timed fingerprint location information |
US9014162B2 (en) | 2006-12-07 | 2015-04-21 | Digimarc Corporation | Wireless local area network-based position locating systems and methods |
US9026133B2 (en) | 2011-11-28 | 2015-05-05 | At&T Mobility Ii Llc | Handset agent calibration for timing based locating systems |
US9026138B2 (en) * | 2013-01-10 | 2015-05-05 | Qualcomm Incorporated | Method and/or system for obtaining signatures for use in navigation |
US20150131460A1 (en) * | 2013-11-13 | 2015-05-14 | Qualcomm Incorporated | Method and apparatus for using rssi and rtt information for choosing access points to associate with |
US9046592B2 (en) | 2012-06-13 | 2015-06-02 | At&T Mobility Ii Llc | Timed fingerprint locating at user equipment |
US9049563B2 (en) | 2010-07-09 | 2015-06-02 | Digimarc Corporation | Mobile device positioning in dynamic groupings of communication devices |
US20150154538A1 (en) * | 2013-11-29 | 2015-06-04 | Fedex Corporate Services, Inc. | Determining Node Location Based on Context Data in a Wireless Node Network |
US20150156611A1 (en) * | 2013-12-02 | 2015-06-04 | At&T Intellectual Property I, L.P. | Method and apparatus for performing a passive indoor localization of a mobile endpoint device |
US9053513B2 (en) | 2010-02-25 | 2015-06-09 | At&T Mobility Ii Llc | Fraud analysis for a location aware transaction |
US20150163633A1 (en) * | 2012-06-08 | 2015-06-11 | Google Inc. | Crowdsourced Signal Propagation Model |
WO2015094360A1 (en) * | 2013-12-20 | 2015-06-25 | Intel Corporation | Wi-fi scan scheduling and power adaptation for low-power indoor location |
US9080882B2 (en) | 2012-03-02 | 2015-07-14 | Qualcomm Incorporated | Visual OCR for positioning |
US9094929B2 (en) | 2012-06-12 | 2015-07-28 | At&T Mobility Ii Llc | Event tagging for mobile networks |
US9100360B2 (en) * | 2012-06-28 | 2015-08-04 | Cable Television Laboratories, Inc. | Contextual awareness architecture |
US9103690B2 (en) | 2011-10-28 | 2015-08-11 | At&T Mobility Ii Llc | Automatic travel time and routing determinations in a wireless network |
US20150230100A1 (en) * | 2011-06-30 | 2015-08-13 | Aboelmagd Noureldin | System and method for wireless positioning in wireless network-enabled environments |
US9110159B2 (en) | 2010-10-08 | 2015-08-18 | HJ Laboratories, LLC | Determining indoor location or position of a mobile computer using building information |
US20150241551A1 (en) * | 2014-02-25 | 2015-08-27 | Ubiqomm, LLC | Systems and Methods of Location and Tracking |
TWI505670B (en) * | 2013-09-17 | 2015-10-21 | Wistron Neweb Corp | Network managing method and device for wireless network system |
US20150304816A1 (en) * | 2012-12-12 | 2015-10-22 | Ahmad AL-NAJJAR | System and method for determining a position of a mobile unit |
US20150319572A1 (en) * | 2014-02-25 | 2015-11-05 | Ubiqomm, LLC | Systems and Methods of Location and Tracking |
US20150334677A1 (en) * | 2014-05-16 | 2015-11-19 | Qualcomm Incorporated, Inc. | Leveraging wireless communication traffic opportunistically |
US9196157B2 (en) | 2010-02-25 | 2015-11-24 | AT&T Mobolity II LLC | Transportation analytics employing timed fingerprint location information |
US9213093B2 (en) | 2012-12-21 | 2015-12-15 | Qualcomm Incorporated | Pairwise measurements for improved position determination |
WO2015195579A1 (en) * | 2014-06-20 | 2015-12-23 | Opentv, Inc. | Device localization based on a learning model |
US9229093B2 (en) | 2013-04-18 | 2016-01-05 | Mediatek Inc. | Method for estimating a location of an electronic device with aid of information carried by responses corresponding to one broadcast request sent to multiple devices, and associated apparatus |
US20160003932A1 (en) * | 2014-07-03 | 2016-01-07 | Lexmark International, Inc. | Method and System for Estimating Error in Predicted Distance Using RSSI Signature |
US9241353B2 (en) | 2013-07-26 | 2016-01-19 | Qualcomm Incorporated | Communications between a mobile device and an access point device |
US9282471B2 (en) | 2012-03-21 | 2016-03-08 | Digimarc Corporation | Positioning systems for wireless networks |
US9306640B2 (en) | 2012-09-07 | 2016-04-05 | Qualcomm Incorporated | Selecting a modulation and coding scheme for beamformed communication |
US9326263B2 (en) | 2012-06-13 | 2016-04-26 | At&T Mobility Ii Llc | Site location determination using crowd sourced propagation delay and location data |
US9351111B1 (en) | 2015-03-06 | 2016-05-24 | At&T Mobility Ii Llc | Access to mobile location related information |
US9351223B2 (en) | 2012-07-25 | 2016-05-24 | At&T Mobility Ii Llc | Assignment of hierarchical cell structures employing geolocation techniques |
US20160198429A1 (en) * | 2015-01-06 | 2016-07-07 | Intel Corporation | Apparatus, system and method of one-sided round-trip-time (rtt) measurement |
US20160205568A1 (en) * | 2015-01-14 | 2016-07-14 | Kcf Technologies, Inc. | Visual signal strength indication for wireless devices |
US20160209495A1 (en) * | 2015-01-15 | 2016-07-21 | Mediatek Inc. | Method of Distance Measurement between Wireless Communication Devices in Wireless Communication System |
US9408174B2 (en) | 2012-06-19 | 2016-08-02 | At&T Mobility Ii Llc | Facilitation of timed fingerprint mobile device locating |
US9426770B2 (en) | 2013-09-30 | 2016-08-23 | Qualcomm Incorporated | Access point selection for network-based positioning |
US9432882B2 (en) | 2013-01-29 | 2016-08-30 | Qualcomm Incorporated | System and method for deploying an RTT-based indoor positioning system |
US9462497B2 (en) | 2011-07-01 | 2016-10-04 | At&T Mobility Ii Llc | Subscriber data analysis and graphical rendering |
US20160316335A1 (en) * | 2013-03-11 | 2016-10-27 | Intel Corporation | Techniques for Wirelessly Docking to a Device |
US20160316318A1 (en) * | 2012-08-31 | 2016-10-27 | Apple Inc. | Proximity and tap detection using a wireless system |
US9519043B2 (en) | 2011-07-21 | 2016-12-13 | At&T Mobility Ii Llc | Estimating network based locating error in wireless networks |
US20170013667A1 (en) * | 2015-07-07 | 2017-01-12 | Hand Held Products, Inc. | Wifi enable based on cell signals |
US9590733B2 (en) | 2009-07-24 | 2017-03-07 | Corning Optical Communications LLC | Location tracking using fiber optic array cables and related systems and methods |
US20170068793A1 (en) * | 2015-09-04 | 2017-03-09 | Cisco Technology, Inc. | Time and motion data fusion for determining and remedying issues based on physical presence |
US9628521B2 (en) | 2014-08-07 | 2017-04-18 | Telecommunication Systems, Inc. | Hybrid location |
US9648580B1 (en) | 2016-03-23 | 2017-05-09 | Corning Optical Communications Wireless Ltd | Identifying remote units in a wireless distribution system (WDS) based on assigned unique temporal delay patterns |
US20170131382A1 (en) * | 2014-07-22 | 2017-05-11 | Huawei Technologies Co., Ltd. | Access Point, Terminal, and Wireless Fidelity Wifi Indoor Positioning Method |
US9661603B2 (en) | 2013-08-30 | 2017-05-23 | Qualcomm Incorporated | Passive positioning utilizing beacon neighbor reports |
US9684060B2 (en) | 2012-05-29 | 2017-06-20 | CorningOptical Communications LLC | Ultrasound-based localization of client devices with inertial navigation supplement in distributed communication systems and related devices and methods |
US9749883B2 (en) * | 2011-02-14 | 2017-08-29 | Thomson Licensing | Troubleshooting WI-FI connectivity by measuring the round trip time of packets sent with different modulation rates |
US9781553B2 (en) | 2012-04-24 | 2017-10-03 | Corning Optical Communications LLC | Location based services in a distributed communication system, and related components and methods |
US9794753B1 (en) | 2016-04-15 | 2017-10-17 | Infinitekey, Inc. | System and method for establishing real-time location |
US9904902B2 (en) | 2014-05-28 | 2018-02-27 | Fedex Corporate Services, Inc. | Methods and apparatus for pseudo master node mode operations within a hierarchical wireless network |
US9913094B2 (en) | 2010-08-09 | 2018-03-06 | Corning Optical Communications LLC | Apparatuses, systems, and methods for determining location of a mobile device(s) in a distributed antenna system(s) |
WO2018063573A1 (en) * | 2016-09-28 | 2018-04-05 | Intel Corporation | Communication network management system and method |
US9961686B2 (en) | 2012-06-28 | 2018-05-01 | Cable Television Laboratories, Inc. | Contextual awareness architecture |
US9967032B2 (en) | 2010-03-31 | 2018-05-08 | Corning Optical Communications LLC | Localization services in optical fiber-based distributed communications components and systems, and related methods |
US9973391B2 (en) | 2015-07-08 | 2018-05-15 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods of enhanced checkpoint summary based monitoring for an event candidate related to an ID node within a wireless node network |
US9992623B2 (en) | 2016-03-23 | 2018-06-05 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for enhanced multi-radio container node elements used in a wireless node network |
US10064154B2 (en) | 2013-03-06 | 2018-08-28 | Intel Corporation | System and method for channel information exchange for time of flight range determination |
US10132917B2 (en) | 2014-02-25 | 2018-11-20 | Bridgewest Finance Llc | Systems and methods of location and tracking |
JP2019503472A (en) * | 2015-11-23 | 2019-02-07 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | System for validating distance measurements |
US10281922B2 (en) * | 2013-03-15 | 2019-05-07 | Mtd Products Inc | Method and system for mobile work system confinement and localization |
US10291436B2 (en) | 2017-03-02 | 2019-05-14 | Nxp B.V. | Processing module and associated method |
US10298337B2 (en) | 2016-11-11 | 2019-05-21 | Nxp B.V. | Processing module and associated method |
US10332162B1 (en) | 2013-09-30 | 2019-06-25 | Square, Inc. | Using wireless beacons for transit systems |
US10330772B2 (en) * | 2014-11-14 | 2019-06-25 | Hewlett Packard Enterprise Development Lp | Determining a location of a device |
US10356550B2 (en) | 2016-12-14 | 2019-07-16 | Denso Corporation | Method and system for establishing microlocation zones |
US10373151B1 (en) | 2012-11-20 | 2019-08-06 | Square, Inc. | Multiple merchants in cardless payment transactions and multiple customers in cardless payment transactions |
US10383085B2 (en) | 2017-04-03 | 2019-08-13 | Nxp B.V. | Range determining module and associated methods and apparatus |
US10404490B2 (en) | 2017-03-02 | 2019-09-03 | Nxp B.V. | Processing module and associated method |
US20190297592A1 (en) * | 2018-03-21 | 2019-09-26 | Combain Mobile AB | Method and system for locating a position of a movable device |
US10440574B2 (en) * | 2016-06-12 | 2019-10-08 | Apple Inc. | Unlocking a device |
US10516972B1 (en) | 2018-06-01 | 2019-12-24 | At&T Intellectual Property I, L.P. | Employing an alternate identifier for subscription access to mobile location information |
US10559149B1 (en) * | 2018-10-08 | 2020-02-11 | Nxp B.V. | Dynamic anchor pre-selection for ranging applications |
US10572851B2 (en) | 2015-02-09 | 2020-02-25 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for generating a pickup notification related to an inventory item |
US10591581B2 (en) | 2006-12-07 | 2020-03-17 | Digimarc Corporation | Space-time calibration system and method |
US20200100204A1 (en) * | 2018-09-21 | 2020-03-26 | Honeywell International Inc. | Location tracker |
US20200100055A1 (en) * | 2018-09-21 | 2020-03-26 | Honeywell International Inc. | Object tracker |
US10690762B2 (en) | 2015-05-29 | 2020-06-23 | Qualcomm Incorporated | Systems and methods for determining an upper bound on the distance between devices |
US10715355B2 (en) | 2016-06-08 | 2020-07-14 | Nxp B.V. | Processing module for a communication device and method therefor |
US20200252751A1 (en) * | 2019-02-04 | 2020-08-06 | Here Global B.V. | Determining motion information associated with a mobile device |
US10785650B2 (en) | 2017-03-02 | 2020-09-22 | Nxp B.V. | Processing module and associated method |
US10783531B2 (en) | 2012-03-16 | 2020-09-22 | Square, Inc. | Cardless payment transactions based on geographic locations of user devices |
US10805092B2 (en) | 2017-03-02 | 2020-10-13 | Nxp B.V. | Processing module and associated method |
US10869166B2 (en) | 2018-07-30 | 2020-12-15 | Motorola Mobility Llc | Location correlation in a region based on signal strength indications |
US10880755B2 (en) * | 2016-10-21 | 2020-12-29 | Telecom Italia S.P.A. | Method and system for radio communication network planning |
US10885522B1 (en) | 2013-02-08 | 2021-01-05 | Square, Inc. | Updating merchant location for cardless payment transactions |
CN112462325A (en) * | 2020-11-11 | 2021-03-09 | 清华大学 | Spatial positioning method and device and storage medium |
CN113365217A (en) * | 2021-04-20 | 2021-09-07 | 中国科学院空天信息创新研究院 | Monitoring and positioning system and method based on WIFI-RTT (wireless fidelity-round-trip time) ranging |
US20210400439A1 (en) * | 2020-06-19 | 2021-12-23 | Legic Identsystems Ag | Electronic Device |
US11233588B2 (en) * | 2019-12-03 | 2022-01-25 | Toyota Motor Engineering & Manufacturing North America, Inc. | Devices, systems and methods for determining a proximity of a peripheral BLE device |
US11243500B2 (en) | 2017-11-08 | 2022-02-08 | Seiko Epson Corporation | Electronic timepiece, time correction system, and method of correcting display time |
US20220109955A1 (en) * | 2019-02-06 | 2022-04-07 | Nippon Telegraph And Telephone Corporation | Position estimation method, position estimation system, position estimation server, and position estimation program |
US11343191B2 (en) | 2020-03-09 | 2022-05-24 | Kabushiki Kaisha Toshiba | In-facility wireless communication system and method for determining locations based on tag orientation |
US11402491B2 (en) | 2017-11-22 | 2022-08-02 | Nida Tech Sweden Ab | Method for determining a distance between two nodes |
US20220244401A1 (en) * | 2019-07-10 | 2022-08-04 | Sony Group Corporation | Mobile body control device, mobile body control method, and program |
US11451458B2 (en) * | 2016-12-13 | 2022-09-20 | Nec Corporation | Method and software defined network controller for performing round-trip time determination between a source element and a target element |
US11449854B1 (en) | 2012-10-29 | 2022-09-20 | Block, Inc. | Establishing consent for cardless transactions using short-range transmission |
US11503563B2 (en) | 2020-02-04 | 2022-11-15 | Alibaba Group Holding Limited | Distance estimation using signals of different frequencies |
US11587146B1 (en) | 2013-11-13 | 2023-02-21 | Block, Inc. | Wireless beacon shopping experience |
CN116095828A (en) * | 2023-02-17 | 2023-05-09 | 山东七次方智能科技有限公司 | Indoor wireless positioning system and method based on power detection |
US11656081B2 (en) * | 2019-10-18 | 2023-05-23 | Anello Photonics, Inc. | Integrated photonics optical gyroscopes optimized for autonomous terrestrial and aerial vehicles |
WO2023243963A1 (en) * | 2022-06-16 | 2023-12-21 | Samsung Electronics Co., Ltd. | Method and apparatus for device-based indoor positioning using wi-fi fine timing measurements |
WO2024049059A1 (en) * | 2022-09-01 | 2024-03-07 | 삼성전자 주식회사 | Electronic device and location measurement method using same |
Families Citing this family (122)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7401105B2 (en) | 2003-10-02 | 2008-07-15 | International Business Machines Corporation | Method, system, and program product for retrieving file processing software |
US9151821B2 (en) * | 2009-07-24 | 2015-10-06 | Qualcomm Incorporated | Watermarking antenna beams for position determination |
TWI507707B (en) * | 2009-12-23 | 2015-11-11 | Sensewhere Ltd | Locating electromagnetic signal sources |
US8892118B2 (en) | 2010-07-23 | 2014-11-18 | Qualcomm Incorporated | Methods and apparatuses for use in providing position assistance data to mobile stations |
US8818401B2 (en) | 2010-07-30 | 2014-08-26 | Qualcomm Incorporated | Methods and apparatuses for use in determining that a mobile station is at one or more particular indoor regions |
US9148763B2 (en) * | 2010-07-30 | 2015-09-29 | Qualcomm Incorporated | Methods and apparatuses for mobile station centric determination of positioning assistance data |
EP2643985B1 (en) * | 2010-11-25 | 2017-02-22 | Thomson Licensing | Method and device for fingerprinting of wireless communication devices |
NL2005776C2 (en) * | 2010-11-29 | 2012-05-30 | Nedap Nv | ELECTRONIC LOCALIZING SYSTEM. |
US8526368B2 (en) | 2011-05-17 | 2013-09-03 | Qualcomm Incorporated | Wi-Fi access point characteristics database |
US8494554B2 (en) * | 2011-06-03 | 2013-07-23 | Apple Inc. | Mobile device location estimation |
US8639640B1 (en) | 2011-06-10 | 2014-01-28 | Google Inc. | Prediction of indoor location using decision trees |
JP2013007719A (en) * | 2011-06-27 | 2013-01-10 | Toyota Central R&D Labs Inc | Position estimation device, position estimation method and position estimation program |
KR101614148B1 (en) | 2011-09-16 | 2016-04-20 | 퀄컴 인코포레이티드 | Detecting that a mobile device is riding with a vehicle |
CN103024896A (en) * | 2011-09-23 | 2013-04-03 | 李志海 | System, method and device for wireless location |
EP2592433B1 (en) * | 2011-11-10 | 2016-01-27 | Alcatel Lucent | Distance estimation |
US8751127B2 (en) * | 2011-11-30 | 2014-06-10 | General Electric Company | Position estimation system and method |
CN102540143B (en) * | 2011-12-31 | 2013-12-11 | 深圳市高斯贝尔家居智能电子有限公司 | Accurate positioning method and system for target |
CN103379619B (en) * | 2012-04-16 | 2017-11-28 | 中兴通讯股份有限公司 | A kind of localization method and system |
US9081079B2 (en) * | 2012-05-02 | 2015-07-14 | Qualcomm Incorporated | Adaptive updating of indoor navigation assistance data for use by a mobile device |
JP5879194B2 (en) * | 2012-05-08 | 2016-03-08 | 本田技研工業株式会社 | Moving body photographing system, moving body photographing apparatus, moving body photographing method, and moving body photographing program |
US9432964B2 (en) * | 2012-05-21 | 2016-08-30 | Qualcomm Incorporated | Method and apparatus for determining locations of access points |
US8805423B2 (en) * | 2012-06-19 | 2014-08-12 | Qualcomm Incorporated | Adaptive passive scanning and/or active probing techniques for mobile device positioning |
CN103592622B (en) * | 2012-08-13 | 2016-09-14 | 贝思文 | A kind of signal framing system and localization method thereof |
KR101388192B1 (en) * | 2012-09-05 | 2014-04-24 | 재단법인대구경북과학기술원 | Method and system for localizing mobile object using passive uhf rfid |
US9451418B2 (en) * | 2012-10-19 | 2016-09-20 | Qualcomm Incorporated | Group association based on network determined location |
CN104081842A (en) * | 2012-12-04 | 2014-10-01 | 华为技术有限公司 | Positioning method, device and system |
CN103068038A (en) * | 2012-12-14 | 2013-04-24 | 南昌大学 | Indoor bidirectional positioning method based on Zigbee network |
US20140199959A1 (en) * | 2013-01-14 | 2014-07-17 | Microsoft Corporation | Location determination for emergency services in wireless networks |
US9191908B2 (en) * | 2013-03-05 | 2015-11-17 | Qualcomm Incorporated | Reducing impact of clock drift in wireless devices |
US9058702B2 (en) | 2013-03-12 | 2015-06-16 | Qualcomm Incorporated | Method for securely delivering indoor positioning data and applications |
US9210682B2 (en) * | 2013-04-15 | 2015-12-08 | Qualcomm Incorporated | Varying processes to control transmission characteristics for position determination operations |
US8982935B2 (en) * | 2013-07-25 | 2015-03-17 | Qualcomm Incorporated | Apparatus and method for ranging using round-trip time by broadcasting in a network |
US9445227B2 (en) * | 2013-08-30 | 2016-09-13 | Qualcomm Incorporated | Passive positioning utilizing round trip time information |
US9532328B2 (en) * | 2013-09-09 | 2016-12-27 | Qualcomm Incorporated | Methods and apparatuses for improving quality of positioning |
JP6366697B2 (en) * | 2013-10-25 | 2018-08-01 | インテル コーポレイション | Wireless indoor location radio interface protocol |
CN103686698A (en) * | 2013-11-13 | 2014-03-26 | 百度在线网络技术(北京)有限公司 | Location information processing method and device |
KR101545562B1 (en) * | 2013-12-13 | 2015-08-19 | 에스케이텔레콤 주식회사 | Method and Apparatus for Positioning by Using Round Trip Time |
CN105793724A (en) * | 2013-12-26 | 2016-07-20 | 英特尔Ip公司 | Method and apparatus to improve position accuracy for wi-fi technology |
US9557402B2 (en) * | 2014-03-03 | 2017-01-31 | Rosemount Inc. | Indoor positioning system |
JP6168527B2 (en) * | 2014-03-07 | 2017-07-26 | 公立大学法人岩手県立大学 | Position estimation system, position estimation method, program |
US20150264520A1 (en) * | 2014-03-14 | 2015-09-17 | Qualcomm Incorporated | System and method for determining a location for a wireless communication device using an integrated wifi sniffer and measurement engine |
US20150319580A1 (en) * | 2014-04-30 | 2015-11-05 | Samsung Electro-Mechanics Co., Ltd. | Wireless position estimation apparatus and method |
US9301096B2 (en) | 2014-05-08 | 2016-03-29 | Qualcomm Incorporated | Range rate based stopped detection |
JP6303865B2 (en) * | 2014-06-26 | 2018-04-04 | 株式会社デンソー | Wireless communication device and wireless positioning system |
US9668099B2 (en) * | 2014-07-31 | 2017-05-30 | Intel Corporation | Apparatus, computer-readable medium, and method to determine a user equipment location in a cellular network using signals from a wireless local area network (WLAN) |
US9907044B2 (en) * | 2014-09-15 | 2018-02-27 | Qualcomm Incorporated | IEEE 802.11 enhancements for high efficiency positioning |
JP2017227442A (en) * | 2014-09-24 | 2017-12-28 | 日本電気株式会社 | Radio communication system, access point, control device, and position calculation method |
WO2016085444A1 (en) | 2014-11-24 | 2016-06-02 | Hewlett Packard Enterprise Development Lp | Determining a location of a disconnected device |
KR101634879B1 (en) | 2014-12-26 | 2016-06-29 | 네이버비즈니스플랫폼 주식회사 | Method and apparatus for providing wireless location service using the beacon |
KR101590292B1 (en) * | 2015-01-29 | 2016-02-01 | 세종대학교산학협력단 | Backscatter System and Method For Adaptive Encoding using The Same |
EP3333588B1 (en) * | 2015-05-13 | 2021-06-02 | Combain Mobile AB | Generating a model for positioning |
WO2016186618A1 (en) * | 2015-05-15 | 2016-11-24 | Hewlett Packard Enterprise Development Lp | Correcting time-of-flight measurements |
EP3304784B1 (en) | 2015-05-29 | 2022-05-18 | Telefonaktiebolaget LM Ericsson (publ) | Transmission control of a multi-hop relay radio link |
US10849205B2 (en) | 2015-10-14 | 2020-11-24 | Current Lighting Solutions, Llc | Luminaire having a beacon and a directional antenna |
CN105516904B (en) * | 2015-12-24 | 2019-04-12 | 三维通信股份有限公司 | A kind of indoor fusion and positioning method and system based on small base station and bluetooth |
US9709660B1 (en) * | 2016-01-11 | 2017-07-18 | Qualcomm Incorporated | Crowdsourced user density applications |
CN105828297A (en) * | 2016-03-14 | 2016-08-03 | 南京理工大学 | Distance-correction-multiplicative-factor-based indoor positioning method |
CN106060862A (en) * | 2016-05-05 | 2016-10-26 | 成都西加云杉科技有限公司 | Positioning reference data acquiring and updating method and system |
TWI593986B (en) | 2016-05-19 | 2017-08-01 | 正文科技股份有限公司 | Production system and methd for location-aware environment |
US10278151B2 (en) * | 2016-06-15 | 2019-04-30 | Qualcomm Incorporated | Combined fine timing measurement (FTM) and non-FTM messaging for estimating turn-around calibration factor |
MX2018013846A (en) * | 2016-07-01 | 2019-03-21 | Ericsson Telefon Ab L M | Round trip time skew control methods and arrangements. |
US10038981B2 (en) * | 2016-07-26 | 2018-07-31 | Qualcomm Incorporated | Synchronous scanning terrestrial networks for measurements for crowdsourcing and positioning |
DE102016213867B4 (en) * | 2016-07-28 | 2022-12-29 | Continental Automotive Technologies GmbH | Method and device for distance measurement |
CN106535113B (en) * | 2016-09-23 | 2019-06-21 | 北京三快在线科技有限公司 | Determine the method, device and equipment localization method of credible wifi access point |
CN109906642B (en) * | 2016-11-04 | 2021-02-09 | 华为技术有限公司 | Positioning information transmission method, related equipment and system |
CN106707232B (en) * | 2016-12-20 | 2019-02-15 | 南京工业大学 | A kind of WLAN propagation model localization method based on intelligent perception |
US10740503B1 (en) | 2019-01-17 | 2020-08-11 | Middle Chart, LLC | Spatial self-verifying array of nodes |
US11900021B2 (en) | 2017-02-22 | 2024-02-13 | Middle Chart, LLC | Provision of digital content via a wearable eye covering |
US10740502B2 (en) | 2017-02-22 | 2020-08-11 | Middle Chart, LLC | Method and apparatus for position based query with augmented reality headgear |
US11194938B2 (en) | 2020-01-28 | 2021-12-07 | Middle Chart, LLC | Methods and apparatus for persistent location based digital content |
US10776529B2 (en) | 2017-02-22 | 2020-09-15 | Middle Chart, LLC | Method and apparatus for enhanced automated wireless orienteering |
US10902160B2 (en) | 2017-02-22 | 2021-01-26 | Middle Chart, LLC | Cold storage environmental control and product tracking |
US10949579B2 (en) | 2017-02-22 | 2021-03-16 | Middle Chart, LLC | Method and apparatus for enhanced position and orientation determination |
US11468209B2 (en) | 2017-02-22 | 2022-10-11 | Middle Chart, LLC | Method and apparatus for display of digital content associated with a location in a wireless communications area |
WO2020068177A1 (en) | 2018-09-26 | 2020-04-02 | Middle Chart, LLC | Method and apparatus for augmented virtual models and orienteering |
US10824774B2 (en) | 2019-01-17 | 2020-11-03 | Middle Chart, LLC | Methods and apparatus for healthcare facility optimization |
US10762251B2 (en) | 2017-02-22 | 2020-09-01 | Middle Chart, LLC | System for conducting a service call with orienteering |
US10628617B1 (en) | 2017-02-22 | 2020-04-21 | Middle Chart, LLC | Method and apparatus for wireless determination of position and orientation of a smart device |
US10984146B2 (en) | 2017-02-22 | 2021-04-20 | Middle Chart, LLC | Tracking safety conditions of an area |
US10831945B2 (en) | 2017-02-22 | 2020-11-10 | Middle Chart, LLC | Apparatus for operation of connected infrastructure |
US11475177B2 (en) | 2017-02-22 | 2022-10-18 | Middle Chart, LLC | Method and apparatus for improved position and orientation based information display |
US10733334B2 (en) | 2017-02-22 | 2020-08-04 | Middle Chart, LLC | Building vital conditions monitoring |
US11625510B2 (en) | 2017-02-22 | 2023-04-11 | Middle Chart, LLC | Method and apparatus for presentation of digital content |
US10620084B2 (en) | 2017-02-22 | 2020-04-14 | Middle Chart, LLC | System for hierarchical actions based upon monitored building conditions |
US11900022B2 (en) | 2017-02-22 | 2024-02-13 | Middle Chart, LLC | Apparatus for determining a position relative to a reference transceiver |
US11481527B2 (en) | 2017-02-22 | 2022-10-25 | Middle Chart, LLC | Apparatus for displaying information about an item of equipment in a direction of interest |
US10872179B2 (en) | 2017-02-22 | 2020-12-22 | Middle Chart, LLC | Method and apparatus for automated site augmentation |
CN106993027B (en) * | 2017-03-15 | 2020-02-07 | 西安电子科技大学 | Remote data storage location verification method |
US10542518B2 (en) | 2017-04-06 | 2020-01-21 | Qualcomm Incorporated | Mobile access point detection |
US10330784B2 (en) * | 2017-04-07 | 2019-06-25 | Qualcomm Incorporated | Secure range determination protocol |
WO2018222124A1 (en) * | 2017-06-01 | 2018-12-06 | Terranet Ab | Vehicular self-positioning |
HUP1700379A2 (en) | 2017-09-11 | 2019-04-29 | Tundralog Tech Kft | Method and system for calibrating transceivers |
EP3477327B1 (en) * | 2017-10-26 | 2020-02-19 | Vestel Elektronik Sanayi ve Ticaret A.S. | Mobile communication device and method for operating a mobile communication device |
US11039414B2 (en) | 2017-11-21 | 2021-06-15 | International Business Machines Corporation | Fingerprint data pre-process method for improving localization model |
US10779118B2 (en) * | 2018-01-12 | 2020-09-15 | Red Point Positioning Corporation | Media access control (MAC) frame structure and data communication method in a real-time localization system |
US10623908B2 (en) * | 2018-02-28 | 2020-04-14 | Qualcomm Incorporated | Pedestrian positioning via vehicle collaboration |
WO2019165632A1 (en) * | 2018-03-02 | 2019-09-06 | 深圳市汇顶科技股份有限公司 | Indoor positioning method, apparatus and equipment |
US20190349280A1 (en) * | 2018-05-09 | 2019-11-14 | Qualcomm Incorporated | Range measurement with closed-loop feedback on rtt quality |
US10939401B2 (en) * | 2018-07-09 | 2021-03-02 | Qualcomm Incorporated | Round trip time estimation based on a timing advance applied to a timing response |
JP6630406B1 (en) * | 2018-07-10 | 2020-01-15 | セントラル警備保障株式会社 | Security guard management system and security guard management method using the system |
EP3827274B1 (en) * | 2018-07-26 | 2023-11-01 | Signify Holding B.V. | Method for configuring a tracking system, tracking system, lighting system incorporating a tracking system and computer program |
EP3837566A1 (en) * | 2018-08-14 | 2021-06-23 | Cisco Technology, Inc. | Motion detection for passive indoor positioning system |
US11924924B2 (en) | 2018-09-17 | 2024-03-05 | Rosemount Inc. | Location awareness system |
US11546103B2 (en) * | 2018-10-19 | 2023-01-03 | Qualcomm Incorporated | Physical layer aspects of round-trip time and observed time difference of arrival based positioning |
EP3668197B1 (en) | 2018-12-12 | 2021-11-03 | Rohde & Schwarz GmbH & Co. KG | Method and radio for setting the transmission power of a radio transmission |
EP3900203A2 (en) | 2018-12-20 | 2021-10-27 | Telefonaktiebolaget LM Ericsson (publ) | Uplink coordinated multipoint positioning |
EP3693309B1 (en) | 2019-01-28 | 2023-06-28 | Otis Elevator Company | Effecting elevator service based on indoor proximity of mobile device to elevator lobby |
CN109752708A (en) * | 2019-02-28 | 2019-05-14 | 杭州羿腾科技有限公司 | It is a kind of that method and system are lost based on seeking for low-power consumption bluetooth signal ranging |
WO2020190184A1 (en) * | 2019-03-19 | 2020-09-24 | Telefonaktiebolaget Lm Ericsson (Publ) | User equipment state estimation |
JP2020173122A (en) * | 2019-04-08 | 2020-10-22 | 日本電信電話株式会社 | Position estimation method, position estimation system, position estimation server, and position estimation program |
US11122443B2 (en) | 2019-09-19 | 2021-09-14 | Cisco Technology, Inc. | Automated access point mapping systems and methods |
DE102019217646A1 (en) * | 2019-11-15 | 2021-05-20 | Robert Bosch Gmbh | WiFi-supported localization of vehicles |
CN110824422A (en) * | 2019-11-19 | 2020-02-21 | 国家能源集团谏壁发电厂 | High-precision indoor positioning device positioning method |
CN112153563B (en) * | 2019-11-25 | 2023-04-11 | 广东博智林机器人有限公司 | Positioning method, positioning device, electronic equipment and storage medium |
US11507714B2 (en) | 2020-01-28 | 2022-11-22 | Middle Chart, LLC | Methods and apparatus for secure persistent location based digital content |
WO2022010340A1 (en) * | 2020-07-08 | 2022-01-13 | Mimos Berhad | A system and method for providing an indoor positioning tracking |
CN112433201B (en) * | 2020-11-27 | 2023-02-24 | 歌尔科技有限公司 | Distance measurement method and device and terminal equipment |
KR102450271B1 (en) * | 2020-11-30 | 2022-09-30 | 경일대학교 산학협력단 | Apparatus and method for estimating a signal propagation model or estimating the location of a base station |
EP4057028A1 (en) * | 2021-03-09 | 2022-09-14 | Huawei Technologies Co., Ltd. | Time measurement method and apparatus |
JP2023160429A (en) * | 2022-04-22 | 2023-11-02 | 株式会社デンソー | Position estimation system and position estimation method |
US20230413208A1 (en) * | 2022-06-20 | 2023-12-21 | Qualcomm Incorporated | Single-sided round trip time (rtt) location estimation |
US20240007378A1 (en) * | 2022-06-30 | 2024-01-04 | Juniper Networks, Inc. | Orchestration of round-trip time (rtt) measurements |
Citations (88)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20010053699A1 (en) * | 1999-08-02 | 2001-12-20 | Mccrady Dennis D. | Method and apparatus for determining the position of a mobile communication device |
US6477380B1 (en) * | 1998-01-29 | 2002-11-05 | Oki Electric Industry Co., Ltd. | System and method for estimating location of mobile station |
US20020173295A1 (en) * | 2001-05-15 | 2002-11-21 | Petri Nykanen | Context sensitive web services |
US20030125046A1 (en) * | 2001-12-27 | 2003-07-03 | Wyatt Riley | Use of mobile stations for determination of base station location parameters in a wireless mobile communication system |
US20030129995A1 (en) * | 2002-01-07 | 2003-07-10 | Nec Corporation | Mobile terminal device and positional information system |
US20030182053A1 (en) * | 2002-03-19 | 2003-09-25 | Swope Charles B. | Device for use with a portable inertial navigation system ("PINS") and method for transitioning between location technologies |
US20040003285A1 (en) * | 2002-06-28 | 2004-01-01 | Robert Whelan | System and method for detecting unauthorized wireless access points |
US20040023640A1 (en) * | 2002-08-02 | 2004-02-05 | Ballai Philip N. | System and method for detection of a rogue wireless access point in a wireless communication network |
US20040104842A1 (en) * | 1997-08-19 | 2004-06-03 | Siemens Vdo Automotive Corporation, A Delaware Corporation | Driver information system |
US6754488B1 (en) * | 2002-03-01 | 2004-06-22 | Networks Associates Technologies, Inc. | System and method for detecting and locating access points in a wireless network |
US20040189712A1 (en) * | 2003-03-27 | 2004-09-30 | International Business Machines Corporation | Method and apparatus for managing windows |
US20040203539A1 (en) * | 2002-12-11 | 2004-10-14 | Benes Stanley J. | Method and mobile station for autonomously determining an angle of arrival (AOA) estimation |
US20040223599A1 (en) * | 2003-05-05 | 2004-11-11 | Bear Eric Gould | Computer system with do not disturb system and method |
US20040235499A1 (en) * | 2003-02-28 | 2004-11-25 | Sony Corporation | Ranging and positioning system, ranging and positioning method, and radio communication apparatus |
US20040258012A1 (en) * | 2003-05-23 | 2004-12-23 | Nec Corporation | Location sensing system and method using packets asynchronously transmitted between wireless stations |
US20050055412A1 (en) * | 2003-09-04 | 2005-03-10 | International Business Machines Corporation | Policy-based management of instant message windows |
US20050058081A1 (en) * | 2003-09-16 | 2005-03-17 | Elliott Brig Barnum | Systems and methods for measuring the distance between devices |
US20050130669A1 (en) * | 2003-11-06 | 2005-06-16 | Kenichi Mizugaki | Positioning system using radio signal sent from node |
US20050130699A1 (en) * | 1999-07-27 | 2005-06-16 | Kim Hong J. | Antenna impedance matching device and method for a portable radio telephone |
US20050201533A1 (en) * | 2004-03-10 | 2005-09-15 | Emam Sean A. | Dynamic call processing system and method |
US20050208900A1 (en) * | 2004-03-16 | 2005-09-22 | Ulun Karacaoglu | Co-existing BluetoothTM and wireless local area networks |
US20060004911A1 (en) * | 2004-06-30 | 2006-01-05 | International Business Machines Corporation | Method and system for automatically stetting chat status based on user activity in local environment |
US20060085581A1 (en) * | 2004-10-18 | 2006-04-20 | Martin Derek P | Computer system and method for inhibiting interruption of a user that is actively using the computer system |
US20060090169A1 (en) * | 2004-09-29 | 2006-04-27 | International Business Machines Corporation | Process to not disturb a user when performing critical activities |
US20060120334A1 (en) * | 2004-11-23 | 2006-06-08 | Institute For Information Industry | Enhanced direct link transmission method and system for wireless local area networks |
US7079851B2 (en) * | 2002-07-15 | 2006-07-18 | Hitachi, Ltd. | Control method for information network system, information network system and mobile communication terminal |
US20060189329A1 (en) * | 2005-02-23 | 2006-08-24 | Deere & Company, A Delaware Corporation | Vehicular navigation based on site specific sensor quality data |
US20060195252A1 (en) * | 2005-02-28 | 2006-08-31 | Kevin Orr | System and method for navigating a mobile device user interface with a directional sensing device |
US20060200862A1 (en) * | 2005-03-03 | 2006-09-07 | Cisco Technology, Inc. | Method and apparatus for locating rogue access point switch ports in a wireless network related patent applications |
US7130646B2 (en) * | 2003-02-14 | 2006-10-31 | Atheros Communications, Inc. | Positioning with wireless local area networks and WLAN-aided global positioning systems |
US20060256838A1 (en) * | 2005-05-11 | 2006-11-16 | Sprint Spectrum L.P. | Composite code-division/time-division multiplex system |
US7138946B2 (en) * | 2003-10-14 | 2006-11-21 | Hitachi, Ltd. | System and method for position detection of a terminal in a network |
US20070002813A1 (en) * | 2005-06-24 | 2007-01-04 | Tenny Nathan E | Apparatus and method for determining WLAN access point position |
US20070078905A1 (en) * | 2005-10-05 | 2007-04-05 | International Business Machines Corporation | Apparatus and Methods for a Do Not Disturb Feature on a Computer System |
US20070115842A1 (en) * | 2003-12-10 | 2007-05-24 | Junichi Matsuda | Transmission time difference measurement method and system |
US20070121560A1 (en) * | 2005-11-07 | 2007-05-31 | Edge Stephen W | Positioning for wlans and other wireless networks |
US20070135134A1 (en) * | 2003-11-26 | 2007-06-14 | Christopher Patrick | Method and apparatus for calculating a position estimate of a mobile station using network information |
US20070136686A1 (en) * | 2005-12-08 | 2007-06-14 | International Business Machines Corporation | Pop-up repelling frame for use in screen sharing |
US20080002820A1 (en) * | 2006-06-30 | 2008-01-03 | Microsoft Corporation | Forwarding calls in real time communications |
US7319878B2 (en) * | 2004-06-18 | 2008-01-15 | Qualcomm Incorporated | Method and apparatus for determining location of a base station using a plurality of mobile stations in a wireless mobile network |
US20080034435A1 (en) * | 2006-08-03 | 2008-02-07 | Ibm Corporation | Methods and arrangements for detecting and managing viewability of screens, windows and like media |
US7346120B2 (en) * | 1998-12-11 | 2008-03-18 | Freescale Semiconductor Inc. | Method and system for performing distance measuring and direction finding using ultrawide bandwidth transmissions |
US20080068257A1 (en) * | 2006-05-29 | 2008-03-20 | Seiko Epson Corporation | Positioning device, method of controlling positioning device, and recording medium |
US20080069318A1 (en) * | 2006-08-29 | 2008-03-20 | Cisco Technology,Inc. | Techniques for voice instant messaging on a telephone set |
US20080097966A1 (en) * | 2006-10-18 | 2008-04-24 | Yahoo! Inc. A Delaware Corporation | Apparatus and Method for Providing Regional Information Based on Location |
US20080101227A1 (en) * | 2006-10-30 | 2008-05-01 | Nec Corporation | QoS ROUTING METHOD AND QoS ROUTING APPARATUS |
US20080101277A1 (en) * | 2006-07-06 | 2008-05-01 | Taylor Kirk S | Method for disseminating geolocation information for network infrastructure devices |
US20080180315A1 (en) * | 2007-01-26 | 2008-07-31 | Sige Semiconductor (Europe) Limited | Methods and systems for position estimation using satellite signals over multiple receive signal instances |
US20080198811A1 (en) * | 2007-02-21 | 2008-08-21 | Qualcomm Incorporated | Wireless node search procedure |
US20080232297A1 (en) * | 2007-03-22 | 2008-09-25 | Kenichi Mizugaki | Node location method, node location system and server |
US20080250498A1 (en) * | 2004-09-30 | 2008-10-09 | France Telecom | Method, Device a Program for Detecting an Unauthorised Connection to Access Points |
US20080287056A1 (en) * | 2007-05-16 | 2008-11-20 | Computer Associates Think, Inc. | System and method for providing wireless network services using three-dimensional access zones |
US20080287139A1 (en) * | 2007-05-15 | 2008-11-20 | Andrew Corporation | System and method for estimating the location of a mobile station in communications networks |
US20080299993A1 (en) * | 2006-05-22 | 2008-12-04 | Polaris Wireless, Inc. | Computationally-Efficient Estimation of the Location of a Wireless Terminal Based on Pattern Matching |
US20080301262A1 (en) * | 2007-05-31 | 2008-12-04 | Akihiko Kinoshita | Information processing system, information processing device, information processing method, and program |
US7469139B2 (en) * | 2004-05-24 | 2008-12-23 | Computer Associates Think, Inc. | Wireless manager and method for configuring and securing wireless access to a network |
US20090011713A1 (en) * | 2007-03-28 | 2009-01-08 | Proximetry, Inc. | Systems and methods for distance measurement in wireless networks |
US7525484B2 (en) * | 1996-09-09 | 2009-04-28 | Tracbeam Llc | Gateway and hybrid solutions for wireless location |
US20090135797A1 (en) * | 2007-11-02 | 2009-05-28 | Radioframe Networks, Inc. | Mobile telecommunications architecture |
US7574216B2 (en) * | 2004-03-17 | 2009-08-11 | Koninklijke Philips Electronics N.V. | Making time-of-flight measurements in master/slave and ad hoc networks by eaves-dropping on messages |
US20090257426A1 (en) * | 2008-04-11 | 2009-10-15 | Cisco Technology Inc. | Inserting time of departure information in frames to support multi-channel location techniques |
US20090286549A1 (en) * | 2008-05-16 | 2009-11-19 | Apple Inc. | Location Determination |
US20100020776A1 (en) * | 2007-11-27 | 2010-01-28 | Google Inc. | Wireless network-based location approximation |
US7672283B1 (en) * | 2006-09-28 | 2010-03-02 | Trend Micro Incorporated | Detecting unauthorized wireless devices in a network |
US20100067393A1 (en) * | 2007-01-25 | 2010-03-18 | Toshio Sakimura | Packet round trip time measuring method |
US20100081451A1 (en) * | 2008-09-30 | 2010-04-01 | Markus Mueck | Methods and apparatus for resolving wireless signal components |
US7716740B2 (en) * | 2005-10-05 | 2010-05-11 | Alcatel Lucent | Rogue access point detection in wireless networks |
US20100128617A1 (en) * | 2008-11-25 | 2010-05-27 | Qualcomm Incorporated | Method and apparatus for two-way ranging |
US20100130229A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Wireless-based positioning adjustments using a motion sensor |
US20100130230A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Beacon sectoring for position determination |
US20100128637A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Network-centric determination of node processing delay |
US20100141515A1 (en) * | 2007-06-22 | 2010-06-10 | Trimble Terrasat Gmbh | Position tracking device and method |
US20100157848A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Method and apparatus for providing and utilizing local maps and annotations in location determination |
US20100159958A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US7751829B2 (en) * | 2003-09-22 | 2010-07-06 | Fujitsu Limited | Method and apparatus for location determination using mini-beacons |
US20100172259A1 (en) * | 2009-01-05 | 2010-07-08 | Qualcomm Incorporated | Detection Of Falsified Wireless Access Points |
US7756615B2 (en) * | 2005-07-26 | 2010-07-13 | Macdonald, Dettwiler & Associates Inc. | Traffic management system for a passageway environment |
US7810154B2 (en) * | 2003-10-23 | 2010-10-05 | Nanyang Polytechnic | System and method for detection and location of rogue wireless access users in a computer network |
US7893873B2 (en) * | 2005-12-20 | 2011-02-22 | Qualcomm Incorporated | Methods and systems for providing enhanced position location in wireless communications |
US7899006B2 (en) * | 2006-12-05 | 2011-03-01 | Zebra Enterprise Solutions Corp. | Location system for wireless local area network (WLAN) using RSSI and time difference of arrival (TDOA) processing |
US20110092226A1 (en) * | 2007-05-21 | 2011-04-21 | Andrew Llc | Method and Apparatus to Select an Optimum Site and/or Sector to Provide Geo-Location Data |
US20110173674A1 (en) * | 2010-01-13 | 2011-07-14 | Andrew Llc | Method and system for providing location of target device using stateless user information |
US7983622B1 (en) * | 2008-03-12 | 2011-07-19 | Sprint Spectrum L.P. | Using phase difference to determine valid neighbors |
US20110269478A1 (en) * | 2010-04-30 | 2011-11-03 | Qualcomm Incorporated | Device for round trip time measurements |
US8165150B2 (en) * | 2008-12-17 | 2012-04-24 | Avaya Inc. | Method and system for wireless LAN-based indoor position location |
US8238942B2 (en) * | 2007-11-21 | 2012-08-07 | Trapeze Networks, Inc. | Wireless station location detection |
US8244272B2 (en) * | 2005-02-22 | 2012-08-14 | Skyhook Wireless, Inc. | Continuous data optimization of moved access points in positioning systems |
US20130223261A1 (en) * | 2008-11-21 | 2013-08-29 | Qualcomm Incorporated | Processing time determination for wireless position determination |
Family Cites Families (104)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS5052993A (en) | 1973-08-28 | 1975-05-10 | ||
AU1612383A (en) | 1982-06-29 | 1984-01-05 | Decca Ltd. | Measuring distance |
US6181253B1 (en) | 1993-12-21 | 2001-01-30 | Trimble Navigation Limited | Flexible monitoring of location and motion |
US7714778B2 (en) | 1997-08-20 | 2010-05-11 | Tracbeam Llc | Wireless location gateway and applications therefor |
US6148211A (en) | 1997-09-05 | 2000-11-14 | Motorola, Inc. | Method and system for estimating a subscriber's location in a cluttered area |
JPH11313359A (en) | 1998-04-28 | 1999-11-09 | Oki Electric Ind Co Ltd | Method and system for identifying location in mobile communication system |
JPH11326484A (en) | 1998-05-18 | 1999-11-26 | Ricoh Co Ltd | Positioning system |
JP2000244967A (en) | 1999-02-24 | 2000-09-08 | Mitsubishi Electric Corp | Mobile communication system, mobile unit and base station configuring the system and method for detecting position of the mobile unit in the system |
TWI240085B (en) | 1999-04-21 | 2005-09-21 | Ching Fang Lin | Enhanced global positioning system and map navigation process |
EP1050977B1 (en) | 1999-05-06 | 2012-11-07 | Alcatel Lucent | Power control system using acknowledgements |
US6453238B1 (en) | 1999-09-16 | 2002-09-17 | Sirf Technology, Inc. | Navigation system and method for tracking the position of an object |
FI106655B (en) | 1999-09-27 | 2001-03-15 | Nokia Corp | Procedure and arrangement for locating a transmitter |
US6300905B1 (en) | 1999-10-05 | 2001-10-09 | Lucent Technologies Inc. | Location finding using a single base station in CDMA/TDMA systems |
JP2001268622A (en) | 2000-03-17 | 2001-09-28 | Mitsubishi Electric Corp | Method and device for recognizing current position of mobile station, the mobile station, and base station |
US6681099B1 (en) | 2000-05-15 | 2004-01-20 | Nokia Networks Oy | Method to calculate true round trip propagation delay and user equipment location in WCDMA/UTRAN |
JP2001359146A (en) | 2000-06-14 | 2001-12-26 | Nippon Telegr & Teleph Corp <Ntt> | Detection method for position of wireless mobile terminal |
JP2002040121A (en) * | 2000-07-19 | 2002-02-06 | Fujitsu Ltd | Mobile communication system and position-detecting method of mobile station |
JP3640344B2 (en) | 2000-08-01 | 2005-04-20 | 株式会社エヌ・ティ・ティ・ドコモ | Error detection method and system for base station location information in mobile communication system |
US6574478B1 (en) | 2000-08-11 | 2003-06-03 | Alcatel Usa Sourcing, L.P. | System and method for locating mobile devices |
JP3777299B2 (en) * | 2000-11-20 | 2006-05-24 | 日本電信電話株式会社 | Method for detecting position of wireless mobile terminal |
AU2001238035A1 (en) | 2001-02-06 | 2002-08-19 | Itt Manufacturing Enterprises, Inc. | Method and apparatus for determining the position of a mobile communication device |
US6826477B2 (en) | 2001-04-23 | 2004-11-30 | Ecole Polytechnique Federale De Lausanne (Epfl) | Pedestrian navigation method and apparatus operative in a dead reckoning mode |
US6876326B2 (en) | 2001-04-23 | 2005-04-05 | Itt Manufacturing Enterprises, Inc. | Method and apparatus for high-accuracy position location using search mode ranging techniques |
US7006834B2 (en) | 2001-10-29 | 2006-02-28 | Qualcomm Incorporated | Base station time calibration using position measurement data sent by mobile stations during regular position location sessions |
JP3939142B2 (en) | 2001-12-07 | 2007-07-04 | 株式会社エヌ・ティ・ティ・ドコモ | Location registration area configuration method, mobile communication system, and radio base station |
US7383049B2 (en) | 2001-12-27 | 2008-06-03 | Qualcomm Incorporated | Automation of maintenance and improvement of location service parameters in a data base of a wireless mobile communication system |
EP1488559A2 (en) | 2002-03-08 | 2004-12-22 | Xtremespectrum, Inc. | Method and system for performing ranging functions in an ultrawide bandwidth system |
JP2003279648A (en) | 2002-03-27 | 2003-10-02 | K-Tech Devices Corp | Method of measuring distance, and method of specifying position |
US7123924B2 (en) | 2002-06-28 | 2006-10-17 | Interdigital Technology Corporation | Method and system for determining the speed and position of a mobile unit |
US6768459B2 (en) | 2002-07-31 | 2004-07-27 | Interdigital Technology Corporation | Method and system for positioning mobile units based on angle measurements |
US7289813B2 (en) | 2002-09-12 | 2007-10-30 | Broadcom Corporation | Using signal-generated location information to identify and list available devices |
GB0227503D0 (en) | 2002-11-26 | 2002-12-31 | Koninkl Philips Electronics Nv | Devices,systems and methods for obtaining timing information and ranging |
US7822424B2 (en) | 2003-02-24 | 2010-10-26 | Invisitrack, Inc. | Method and system for rangefinding using RFID and virtual triangulation |
JP4374021B2 (en) * | 2003-05-23 | 2009-12-02 | シンボル テクノロジーズ インコーポレイテッド | Self-correction method of position search system by signal strength |
WO2005001619A2 (en) * | 2003-06-06 | 2005-01-06 | Meshnetworks, Inc. | Mac protocol for accurately computing the position of wireless devices inside buildings |
FI20040261A0 (en) | 2004-02-18 | 2004-02-18 | Nokia Corp | Providing time information |
TWI250303B (en) | 2004-04-09 | 2006-03-01 | Nat Huwei University Of Scienc | Integrated location system and method of vehicle |
JP2005345200A (en) | 2004-06-01 | 2005-12-15 | Fujitsu Ten Ltd | Guidance information notifying system, guidance information notifying device, and guidance information notifying method |
JP2006013894A (en) | 2004-06-25 | 2006-01-12 | Advanced Telecommunication Research Institute International | Communication system |
WO2006010071A2 (en) | 2004-07-08 | 2006-01-26 | Meshnetworks, Inc. | System and method for tracking assets using an ad-hoc peer-to-peer wireless network |
US7317914B2 (en) | 2004-09-24 | 2008-01-08 | Microsoft Corporation | Collaboratively locating disconnected clients and rogue access points in a wireless network |
US7233800B2 (en) * | 2004-10-14 | 2007-06-19 | Qualcomm, Incorporated | Wireless terminal location using apparatus and methods employing carrier diversity |
JP2006145223A (en) | 2004-11-16 | 2006-06-08 | Matsushita Electric Works Ltd | System and method for detecting position |
JP4561329B2 (en) | 2004-11-18 | 2010-10-13 | ソニー株式会社 | Ranging system, transmitting terminal, receiving terminal, ranging method, and computer program |
GB0426446D0 (en) | 2004-12-02 | 2005-01-05 | Koninkl Philips Electronics Nv | Measuring the distance between devices |
JP4693405B2 (en) | 2004-12-17 | 2011-06-01 | 株式会社日立製作所 | NODE POSITIONING SYSTEM, WIRELESS BASE STATION, AND POSITION MEASURING METHOD |
FR2880508A1 (en) | 2005-01-03 | 2006-07-07 | France Telecom | METHOD FOR MEASURING A DISTANCE BETWEEN TWO RADIOCOMMUNICATION EQUIPMENTS, AND EQUIPMENT ADAPTED TO IMPLEMENT SUCH A METHOD |
GB0500460D0 (en) | 2005-01-11 | 2005-02-16 | Koninkl Philips Electronics Nv | Time of flight |
US7236091B2 (en) | 2005-02-10 | 2007-06-26 | Pinc Solutions | Position-tracking system |
KR101114722B1 (en) | 2005-02-11 | 2012-02-29 | 삼성전자주식회사 | Apparatus and method of guiding rout based on step |
JP2006311475A (en) | 2005-03-31 | 2006-11-09 | Ntt Docomo Inc | Controller, mobile station, mobile communication system and control method |
US7257412B2 (en) | 2005-04-25 | 2007-08-14 | Mediatek Inc. | Methods and systems for location estimation |
JP2006352810A (en) | 2005-06-20 | 2006-12-28 | Kyushu Univ | Radio control chip set with positioning function, radio communication card with positioning function, radio terminal, and position measuring network system |
CN101248626A (en) * | 2005-06-24 | 2008-08-20 | 高通股份有限公司 | Apparatus and method for determining WLAN access point position |
WO2007021292A2 (en) | 2005-08-09 | 2007-02-22 | Mitsubishi Electric Research Laboratories | Device, method and protocol for private uwb ranging |
US7257413B2 (en) | 2005-08-24 | 2007-08-14 | Qualcomm Incorporated | Dynamic location almanac for wireless base stations |
US7656352B2 (en) | 2005-09-20 | 2010-02-02 | Novariant, Inc. | Troposphere corrections for ground based positioning systems |
JP4733488B2 (en) | 2005-09-26 | 2011-07-27 | マイクロソフト コーポレーション | A method for cooperatively finding disconnected clients and rogue access points in a wireless network |
CN100435597C (en) | 2005-10-26 | 2008-11-19 | 北京邮电大学 | Improvement of cellular network positioning precision |
KR101071076B1 (en) * | 2005-11-07 | 2011-10-10 | 퀄컴 인코포레이티드 | Positioning for wlans and other wireless networks |
JP2007127584A (en) | 2005-11-07 | 2007-05-24 | Mitsubishi Electric Corp | Position detection method for mobile station, emergency communication system, and crime prevention service system |
CN101000369B (en) | 2006-01-11 | 2010-12-01 | 金宝电子工业股份有限公司 | Electric saver of satellite positioning device |
JP4854003B2 (en) | 2006-02-13 | 2012-01-11 | 独立行政法人情報通信研究機構 | Ranging system |
US7450069B2 (en) | 2006-02-27 | 2008-11-11 | Olympus Corporation Technology Of America | Ranging system and method |
JP2007248362A (en) | 2006-03-17 | 2007-09-27 | Hitachi Ltd | Terminal positioning system and position measuring method |
US8552903B2 (en) | 2006-04-18 | 2013-10-08 | Qualcomm Incorporated | Verified distance ranging |
US9100879B2 (en) | 2006-05-12 | 2015-08-04 | Alcatel Lucent | Event context transfer in a heterogeneous communication system |
KR100757526B1 (en) | 2006-05-16 | 2007-09-11 | 주식회사 케이티프리텔 | Method and system for measuring location using round trip time in asynchronous wcdma network |
JP4179339B2 (en) | 2006-05-29 | 2008-11-12 | セイコーエプソン株式会社 | POSITIONING DEVICE, POSITIONING DEVICE CONTROL METHOD, AND PROGRAM |
JP4193884B2 (en) | 2006-07-20 | 2008-12-10 | セイコーエプソン株式会社 | POSITIONING DEVICE, POSITIONING DEVICE CONTROL METHOD, AND PROGRAM |
FR2903842A1 (en) | 2006-07-13 | 2008-01-18 | Alcatel Sa | METHOD OF COMMUNICATION IN EMERGENCY, SERVER, NETWORK AND COMPUTER PROGRAM FOR SUCH COMMUNICATION |
DE102006034201A1 (en) | 2006-07-24 | 2008-02-07 | Siemens Ag | Press |
US8045996B2 (en) | 2006-07-31 | 2011-10-25 | Qualcomm Incorporated | Determination of cell RF parameters based on measurements by user equipments |
JP2008039738A (en) | 2006-08-10 | 2008-02-21 | Fujitsu Ltd | Positioning method |
US8620342B2 (en) | 2006-10-10 | 2013-12-31 | Broadcom Corporation | Sensing RF environment to determine geographic location of cellular base station |
JP4957174B2 (en) | 2006-10-19 | 2012-06-20 | ソニー株式会社 | Location storage device, wireless terminal, location storage system, location registration method, location update method, and program |
US8320331B2 (en) | 2006-10-27 | 2012-11-27 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for estimating a position of an access point in a wireless communications network |
US7856234B2 (en) | 2006-11-07 | 2010-12-21 | Skyhook Wireless, Inc. | System and method for estimating positioning error within a WLAN-based positioning system |
JP5075396B2 (en) * | 2006-11-09 | 2012-11-21 | アズビル株式会社 | Position estimation method and position estimation system |
JP5087909B2 (en) | 2006-11-17 | 2012-12-05 | 富士通株式会社 | Wireless positioning system and wireless positioning method |
US7969930B2 (en) | 2006-11-30 | 2011-06-28 | Kyocera Corporation | Apparatus, system and method for managing wireless local area network service based on a location of a multi-mode portable communication device |
US7848733B2 (en) | 2006-12-28 | 2010-12-07 | Trueposition, Inc. | Emergency wireless location system including a location determining receiver |
JP2008224657A (en) | 2007-02-15 | 2008-09-25 | Seiko Epson Corp | Method of estimating current location, positioning method, program, and mobile terminal |
JP4969335B2 (en) | 2007-02-23 | 2012-07-04 | 株式会社エヌ・ティ・ティ・ドコモ | Positioning system, positioning method and positioning program |
US7463194B1 (en) | 2007-05-16 | 2008-12-09 | Mitsubishi Electric Research Laboratories, Inc. | Method for reducing radio ranging errors due to clock frequency offsets |
WO2008147046A1 (en) | 2007-05-25 | 2008-12-04 | Lg Electronics Inc. | Management procedure in wireless communication system and station supporting management procedure |
US7941159B2 (en) | 2007-05-25 | 2011-05-10 | Broadcom Corporation | Position determination using received broadcast signals |
US8233432B2 (en) | 2007-08-31 | 2012-07-31 | Silicon Image, Inc. | Ensuring physical locality of entities sharing data |
JP2009074974A (en) | 2007-09-21 | 2009-04-09 | Kyocera Corp | Mobile station and location derivation method |
US8265652B2 (en) | 2007-10-02 | 2012-09-11 | Ricoh Co., Ltd. | Geographic tagging of network access points |
JP2008054351A (en) | 2007-10-25 | 2008-03-06 | Hitachi Ltd | Wireless position detecting system, its server, its base station, and its terminal |
US7969963B2 (en) | 2007-12-19 | 2011-06-28 | Mitsubishi Electric Research Laboratories, Inc. | Method for estimating relative clock frequency offsets to improve radio ranging errors |
US7861123B1 (en) | 2007-12-20 | 2010-12-28 | Emc Corporation | Managing loop interface failure |
JP4854699B2 (en) | 2008-04-03 | 2012-01-18 | 三菱電機株式会社 | Wireless communication terminal, wireless positioning system, lighting system, air conditioning system, and parking lot management system |
JP4992839B2 (en) | 2008-07-08 | 2012-08-08 | 富士通株式会社 | Positioning system |
US8161316B1 (en) | 2008-09-30 | 2012-04-17 | Emc Corporation | Managing loop interface instability |
US8233457B1 (en) | 2009-09-03 | 2012-07-31 | Qualcomm Atheros, Inc. | Synchronization-free station locator in wireless network |
US9055395B2 (en) | 2009-11-12 | 2015-06-09 | Cisco Technology, Inc. | Location tracking using response messages identifying a tracked device in a wireless network |
US8606188B2 (en) | 2010-11-19 | 2013-12-10 | Qualcomm Incorporated | Self-positioning of a wireless station |
US8787191B2 (en) | 2011-11-15 | 2014-07-22 | Qualcomm Incorporated | Method and apparatus for determining distance in a Wi-Fi network |
US20130170374A1 (en) | 2011-12-28 | 2013-07-04 | Aeroscout Ltd. | Methods and systems for locating devices |
CN104321998A (en) | 2012-04-30 | 2015-01-28 | 交互数字专利控股公司 | Method and apparatus for supporting coordinated orthogonal block-based resource allocation (COBRA) operations |
US9253594B2 (en) | 2013-03-06 | 2016-02-02 | Qualcomm Incorporated | Dynamic characterization of mobile devices in network-based wireless positioning systems |
US20140269400A1 (en) | 2013-03-14 | 2014-09-18 | Qualcomm Incorporated | Broadcasting short interframe space information for location purposes |
-
2009
- 2009-11-19 US US12/622,289 patent/US20100135178A1/en not_active Abandoned
- 2009-11-20 KR KR1020127025649A patent/KR101312896B1/en active IP Right Grant
- 2009-11-20 KR KR1020117014248A patent/KR101340788B1/en active IP Right Grant
- 2009-11-20 JP JP2011537651A patent/JP2012509483A/en active Pending
- 2009-11-20 ES ES12008413.2T patent/ES2511190T3/en active Active
- 2009-11-20 CN CN200980146844.4A patent/CN102265174B/en not_active Expired - Fee Related
- 2009-11-20 EP EP14020043.7A patent/EP2746802B1/en active Active
- 2009-11-20 WO PCT/US2009/065319 patent/WO2010059934A2/en active Application Filing
- 2009-11-20 EP EP12008413.2A patent/EP2600165B1/en active Active
- 2009-11-20 EP EP12005329A patent/EP2527860A3/en not_active Withdrawn
- 2009-11-20 BR BRPI0921415A patent/BRPI0921415A2/en not_active IP Right Cessation
- 2009-11-20 EP EP09760407A patent/EP2368131B1/en active Active
- 2009-11-20 EP EP12005330A patent/EP2527861A3/en not_active Withdrawn
- 2009-11-23 TW TW098139792A patent/TW201037344A/en unknown
- 2009-11-23 TW TW102121564A patent/TW201344230A/en unknown
-
2013
- 2013-03-11 JP JP2013047651A patent/JP2013167630A/en active Pending
- 2013-04-09 US US13/859,658 patent/US20130237246A1/en not_active Abandoned
- 2013-04-09 US US13/859,652 patent/US9213082B2/en active Active
-
2014
- 2014-02-04 JP JP2014019055A patent/JP5976703B2/en not_active Expired - Fee Related
Patent Citations (97)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7525484B2 (en) * | 1996-09-09 | 2009-04-28 | Tracbeam Llc | Gateway and hybrid solutions for wireless location |
US20040104842A1 (en) * | 1997-08-19 | 2004-06-03 | Siemens Vdo Automotive Corporation, A Delaware Corporation | Driver information system |
US6477380B1 (en) * | 1998-01-29 | 2002-11-05 | Oki Electric Industry Co., Ltd. | System and method for estimating location of mobile station |
US7346120B2 (en) * | 1998-12-11 | 2008-03-18 | Freescale Semiconductor Inc. | Method and system for performing distance measuring and direction finding using ultrawide bandwidth transmissions |
US20050130699A1 (en) * | 1999-07-27 | 2005-06-16 | Kim Hong J. | Antenna impedance matching device and method for a portable radio telephone |
US20010053699A1 (en) * | 1999-08-02 | 2001-12-20 | Mccrady Dennis D. | Method and apparatus for determining the position of a mobile communication device |
US20020118723A1 (en) * | 1999-08-02 | 2002-08-29 | Mccrady Dennis D. | Method and apparatus for determining the position of a mobile communication device using low accuracy clocks |
US20020173295A1 (en) * | 2001-05-15 | 2002-11-21 | Petri Nykanen | Context sensitive web services |
US20030125046A1 (en) * | 2001-12-27 | 2003-07-03 | Wyatt Riley | Use of mobile stations for determination of base station location parameters in a wireless mobile communication system |
US20030129995A1 (en) * | 2002-01-07 | 2003-07-10 | Nec Corporation | Mobile terminal device and positional information system |
US6754488B1 (en) * | 2002-03-01 | 2004-06-22 | Networks Associates Technologies, Inc. | System and method for detecting and locating access points in a wireless network |
US20030182053A1 (en) * | 2002-03-19 | 2003-09-25 | Swope Charles B. | Device for use with a portable inertial navigation system ("PINS") and method for transitioning between location technologies |
US20040003285A1 (en) * | 2002-06-28 | 2004-01-01 | Robert Whelan | System and method for detecting unauthorized wireless access points |
US7079851B2 (en) * | 2002-07-15 | 2006-07-18 | Hitachi, Ltd. | Control method for information network system, information network system and mobile communication terminal |
US20040023640A1 (en) * | 2002-08-02 | 2004-02-05 | Ballai Philip N. | System and method for detection of a rogue wireless access point in a wireless communication network |
US7676218B2 (en) * | 2002-08-02 | 2010-03-09 | Symbol Technologies, Inc. | System and method for detection of a rouge wireless access point in a wireless communication network |
US20040203539A1 (en) * | 2002-12-11 | 2004-10-14 | Benes Stanley J. | Method and mobile station for autonomously determining an angle of arrival (AOA) estimation |
US7130646B2 (en) * | 2003-02-14 | 2006-10-31 | Atheros Communications, Inc. | Positioning with wireless local area networks and WLAN-aided global positioning systems |
US20040235499A1 (en) * | 2003-02-28 | 2004-11-25 | Sony Corporation | Ranging and positioning system, ranging and positioning method, and radio communication apparatus |
US20070099646A1 (en) * | 2003-02-28 | 2007-05-03 | Sony Corporation | Ranging and positioning system, ranging and positioning method, and radio communication apparatus |
US20040189712A1 (en) * | 2003-03-27 | 2004-09-30 | International Business Machines Corporation | Method and apparatus for managing windows |
US20040223599A1 (en) * | 2003-05-05 | 2004-11-11 | Bear Eric Gould | Computer system with do not disturb system and method |
US20040258012A1 (en) * | 2003-05-23 | 2004-12-23 | Nec Corporation | Location sensing system and method using packets asynchronously transmitted between wireless stations |
US20050055412A1 (en) * | 2003-09-04 | 2005-03-10 | International Business Machines Corporation | Policy-based management of instant message windows |
US20050058081A1 (en) * | 2003-09-16 | 2005-03-17 | Elliott Brig Barnum | Systems and methods for measuring the distance between devices |
US7751829B2 (en) * | 2003-09-22 | 2010-07-06 | Fujitsu Limited | Method and apparatus for location determination using mini-beacons |
US7138946B2 (en) * | 2003-10-14 | 2006-11-21 | Hitachi, Ltd. | System and method for position detection of a terminal in a network |
US7810154B2 (en) * | 2003-10-23 | 2010-10-05 | Nanyang Polytechnic | System and method for detection and location of rogue wireless access users in a computer network |
US20050130669A1 (en) * | 2003-11-06 | 2005-06-16 | Kenichi Mizugaki | Positioning system using radio signal sent from node |
US20070135134A1 (en) * | 2003-11-26 | 2007-06-14 | Christopher Patrick | Method and apparatus for calculating a position estimate of a mobile station using network information |
US20070115842A1 (en) * | 2003-12-10 | 2007-05-24 | Junichi Matsuda | Transmission time difference measurement method and system |
US20050201533A1 (en) * | 2004-03-10 | 2005-09-15 | Emam Sean A. | Dynamic call processing system and method |
US20050208900A1 (en) * | 2004-03-16 | 2005-09-22 | Ulun Karacaoglu | Co-existing BluetoothTM and wireless local area networks |
US7574216B2 (en) * | 2004-03-17 | 2009-08-11 | Koninklijke Philips Electronics N.V. | Making time-of-flight measurements in master/slave and ad hoc networks by eaves-dropping on messages |
US7469139B2 (en) * | 2004-05-24 | 2008-12-23 | Computer Associates Think, Inc. | Wireless manager and method for configuring and securing wireless access to a network |
US7319878B2 (en) * | 2004-06-18 | 2008-01-15 | Qualcomm Incorporated | Method and apparatus for determining location of a base station using a plurality of mobile stations in a wireless mobile network |
US20060004911A1 (en) * | 2004-06-30 | 2006-01-05 | International Business Machines Corporation | Method and system for automatically stetting chat status based on user activity in local environment |
US20060090169A1 (en) * | 2004-09-29 | 2006-04-27 | International Business Machines Corporation | Process to not disturb a user when performing critical activities |
US20080250498A1 (en) * | 2004-09-30 | 2008-10-09 | France Telecom | Method, Device a Program for Detecting an Unauthorised Connection to Access Points |
US20060085581A1 (en) * | 2004-10-18 | 2006-04-20 | Martin Derek P | Computer system and method for inhibiting interruption of a user that is actively using the computer system |
US20130072227A1 (en) * | 2004-10-29 | 2013-03-21 | Skyhook Wireless, Inc. | Continuous Data Optimization of Moved Access Points in Positioning Systems |
US20060120334A1 (en) * | 2004-11-23 | 2006-06-08 | Institute For Information Industry | Enhanced direct link transmission method and system for wireless local area networks |
US8244272B2 (en) * | 2005-02-22 | 2012-08-14 | Skyhook Wireless, Inc. | Continuous data optimization of moved access points in positioning systems |
US20060189329A1 (en) * | 2005-02-23 | 2006-08-24 | Deere & Company, A Delaware Corporation | Vehicular navigation based on site specific sensor quality data |
US20060195252A1 (en) * | 2005-02-28 | 2006-08-31 | Kevin Orr | System and method for navigating a mobile device user interface with a directional sensing device |
US20060200862A1 (en) * | 2005-03-03 | 2006-09-07 | Cisco Technology, Inc. | Method and apparatus for locating rogue access point switch ports in a wireless network related patent applications |
US20060256838A1 (en) * | 2005-05-11 | 2006-11-16 | Sprint Spectrum L.P. | Composite code-division/time-division multiplex system |
US20070002813A1 (en) * | 2005-06-24 | 2007-01-04 | Tenny Nathan E | Apparatus and method for determining WLAN access point position |
US7756615B2 (en) * | 2005-07-26 | 2010-07-13 | Macdonald, Dettwiler & Associates Inc. | Traffic management system for a passageway environment |
US7716740B2 (en) * | 2005-10-05 | 2010-05-11 | Alcatel Lucent | Rogue access point detection in wireless networks |
US20070078905A1 (en) * | 2005-10-05 | 2007-04-05 | International Business Machines Corporation | Apparatus and Methods for a Do Not Disturb Feature on a Computer System |
US20070121560A1 (en) * | 2005-11-07 | 2007-05-31 | Edge Stephen W | Positioning for wlans and other wireless networks |
US20070136686A1 (en) * | 2005-12-08 | 2007-06-14 | International Business Machines Corporation | Pop-up repelling frame for use in screen sharing |
US7893873B2 (en) * | 2005-12-20 | 2011-02-22 | Qualcomm Incorporated | Methods and systems for providing enhanced position location in wireless communications |
US20080299993A1 (en) * | 2006-05-22 | 2008-12-04 | Polaris Wireless, Inc. | Computationally-Efficient Estimation of the Location of a Wireless Terminal Based on Pattern Matching |
US20080068257A1 (en) * | 2006-05-29 | 2008-03-20 | Seiko Epson Corporation | Positioning device, method of controlling positioning device, and recording medium |
US20080002820A1 (en) * | 2006-06-30 | 2008-01-03 | Microsoft Corporation | Forwarding calls in real time communications |
US20080101277A1 (en) * | 2006-07-06 | 2008-05-01 | Taylor Kirk S | Method for disseminating geolocation information for network infrastructure devices |
US20080034435A1 (en) * | 2006-08-03 | 2008-02-07 | Ibm Corporation | Methods and arrangements for detecting and managing viewability of screens, windows and like media |
US20080069318A1 (en) * | 2006-08-29 | 2008-03-20 | Cisco Technology,Inc. | Techniques for voice instant messaging on a telephone set |
US7672283B1 (en) * | 2006-09-28 | 2010-03-02 | Trend Micro Incorporated | Detecting unauthorized wireless devices in a network |
US20080097966A1 (en) * | 2006-10-18 | 2008-04-24 | Yahoo! Inc. A Delaware Corporation | Apparatus and Method for Providing Regional Information Based on Location |
US20080101227A1 (en) * | 2006-10-30 | 2008-05-01 | Nec Corporation | QoS ROUTING METHOD AND QoS ROUTING APPARATUS |
US7899006B2 (en) * | 2006-12-05 | 2011-03-01 | Zebra Enterprise Solutions Corp. | Location system for wireless local area network (WLAN) using RSSI and time difference of arrival (TDOA) processing |
US20100067393A1 (en) * | 2007-01-25 | 2010-03-18 | Toshio Sakimura | Packet round trip time measuring method |
US20080180315A1 (en) * | 2007-01-26 | 2008-07-31 | Sige Semiconductor (Europe) Limited | Methods and systems for position estimation using satellite signals over multiple receive signal instances |
US20080198811A1 (en) * | 2007-02-21 | 2008-08-21 | Qualcomm Incorporated | Wireless node search procedure |
US20080232297A1 (en) * | 2007-03-22 | 2008-09-25 | Kenichi Mizugaki | Node location method, node location system and server |
US20090011713A1 (en) * | 2007-03-28 | 2009-01-08 | Proximetry, Inc. | Systems and methods for distance measurement in wireless networks |
US20080287139A1 (en) * | 2007-05-15 | 2008-11-20 | Andrew Corporation | System and method for estimating the location of a mobile station in communications networks |
US20110217987A1 (en) * | 2007-05-16 | 2011-09-08 | Computer Associates Think, Inc. | System and method for providing wireless network services using three-dimensional access zones |
US20080287056A1 (en) * | 2007-05-16 | 2008-11-20 | Computer Associates Think, Inc. | System and method for providing wireless network services using three-dimensional access zones |
US20110092226A1 (en) * | 2007-05-21 | 2011-04-21 | Andrew Llc | Method and Apparatus to Select an Optimum Site and/or Sector to Provide Geo-Location Data |
US20080301262A1 (en) * | 2007-05-31 | 2008-12-04 | Akihiko Kinoshita | Information processing system, information processing device, information processing method, and program |
US20100141515A1 (en) * | 2007-06-22 | 2010-06-10 | Trimble Terrasat Gmbh | Position tracking device and method |
US20090135797A1 (en) * | 2007-11-02 | 2009-05-28 | Radioframe Networks, Inc. | Mobile telecommunications architecture |
US8238942B2 (en) * | 2007-11-21 | 2012-08-07 | Trapeze Networks, Inc. | Wireless station location detection |
US20100020776A1 (en) * | 2007-11-27 | 2010-01-28 | Google Inc. | Wireless network-based location approximation |
US7983622B1 (en) * | 2008-03-12 | 2011-07-19 | Sprint Spectrum L.P. | Using phase difference to determine valid neighbors |
US20090257426A1 (en) * | 2008-04-11 | 2009-10-15 | Cisco Technology Inc. | Inserting time of departure information in frames to support multi-channel location techniques |
US20090286549A1 (en) * | 2008-05-16 | 2009-11-19 | Apple Inc. | Location Determination |
US20100081451A1 (en) * | 2008-09-30 | 2010-04-01 | Markus Mueck | Methods and apparatus for resolving wireless signal components |
US20100130229A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Wireless-based positioning adjustments using a motion sensor |
US20100128637A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Network-centric determination of node processing delay |
US20130237246A1 (en) * | 2008-11-21 | 2013-09-12 | Qualcomm Incorporated | Wireless signal model updating using determined distances |
US20130223261A1 (en) * | 2008-11-21 | 2013-08-29 | Qualcomm Incorporated | Processing time determination for wireless position determination |
US20100130230A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Beacon sectoring for position determination |
US20100128617A1 (en) * | 2008-11-25 | 2010-05-27 | Qualcomm Incorporated | Method and apparatus for two-way ranging |
US8165150B2 (en) * | 2008-12-17 | 2012-04-24 | Avaya Inc. | Method and system for wireless LAN-based indoor position location |
US20100157848A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Method and apparatus for providing and utilizing local maps and annotations in location determination |
US20130072228A1 (en) * | 2008-12-22 | 2013-03-21 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US20100159958A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US20140018065A1 (en) * | 2008-12-22 | 2014-01-16 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US20100172259A1 (en) * | 2009-01-05 | 2010-07-08 | Qualcomm Incorporated | Detection Of Falsified Wireless Access Points |
US20110173674A1 (en) * | 2010-01-13 | 2011-07-14 | Andrew Llc | Method and system for providing location of target device using stateless user information |
US20110269478A1 (en) * | 2010-04-30 | 2011-11-03 | Qualcomm Incorporated | Device for round trip time measurements |
US20130143497A1 (en) * | 2010-04-30 | 2013-06-06 | Qualcomm Incorporated | Device for round trip time measurements |
Cited By (431)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10581913B2 (en) | 2003-04-03 | 2020-03-03 | Ozmo Licensing Llc | Spoofing detection |
US9800612B2 (en) | 2003-04-03 | 2017-10-24 | Ol Security Limited Liability Company | Spoofing detection |
US10320840B2 (en) | 2003-04-03 | 2019-06-11 | Ol Security Limited Liability Company | Spoofing detection for a wireless system |
US20120309427A1 (en) * | 2003-04-03 | 2012-12-06 | Network Security Technologies, Inc. | Method and system for locating a wireless access device in a wireless network |
US9042914B2 (en) * | 2003-04-03 | 2015-05-26 | Tekla Pehr Llc | Method and system for locating a wireless access device in a wireless network |
US10591581B2 (en) | 2006-12-07 | 2020-03-17 | Digimarc Corporation | Space-time calibration system and method |
US9014162B2 (en) | 2006-12-07 | 2015-04-21 | Digimarc Corporation | Wireless local area network-based position locating systems and methods |
US8892127B2 (en) | 2008-11-21 | 2014-11-18 | Qualcomm Incorporated | Wireless-based positioning adjustments using a motion sensor |
US20100128637A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Network-centric determination of node processing delay |
US20100130229A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Wireless-based positioning adjustments using a motion sensor |
US9645225B2 (en) | 2008-11-21 | 2017-05-09 | Qualcomm Incorporated | Network-centric determination of node processing delay |
US9291704B2 (en) | 2008-11-21 | 2016-03-22 | Qualcomm Incorporated | Wireless-based positioning adjustments using a motion sensor |
US20130223261A1 (en) * | 2008-11-21 | 2013-08-29 | Qualcomm Incorporated | Processing time determination for wireless position determination |
US9213082B2 (en) * | 2008-11-21 | 2015-12-15 | Qualcomm Incorporated | Processing time determination for wireless position determination |
US20100130230A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Beacon sectoring for position determination |
US9125153B2 (en) | 2008-11-25 | 2015-09-01 | Qualcomm Incorporated | Method and apparatus for two-way ranging |
US20100128617A1 (en) * | 2008-11-25 | 2010-05-27 | Qualcomm Incorporated | Method and apparatus for two-way ranging |
US8938211B2 (en) | 2008-12-22 | 2015-01-20 | Qualcomm Incorporated | Providing and utilizing maps in location determination based on RSSI and RTT data |
US20100159958A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US8831594B2 (en) | 2008-12-22 | 2014-09-09 | Qualcomm Incorporated | Post-deployment calibration of wireless base stations for wireless position determination |
US9002349B2 (en) | 2008-12-22 | 2015-04-07 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US8768344B2 (en) | 2008-12-22 | 2014-07-01 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US20100157848A1 (en) * | 2008-12-22 | 2010-06-24 | Qualcomm Incorporated | Method and apparatus for providing and utilizing local maps and annotations in location determination |
US8750267B2 (en) * | 2009-01-05 | 2014-06-10 | Qualcomm Incorporated | Detection of falsified wireless access points |
US20100172259A1 (en) * | 2009-01-05 | 2010-07-08 | Qualcomm Incorporated | Detection Of Falsified Wireless Access Points |
US8929914B2 (en) | 2009-01-23 | 2015-01-06 | At&T Mobility Ii Llc | Compensation of propagation delays of wireless signals |
US8938355B2 (en) | 2009-03-13 | 2015-01-20 | Qualcomm Incorporated | Human assisted techniques for providing local maps and location-specific annotated data |
US20100235091A1 (en) * | 2009-03-13 | 2010-09-16 | Qualcomm Incorporated | Human assisted techniques for providing local maps and location-specific annotated data |
US9217788B2 (en) * | 2009-03-19 | 2015-12-22 | Cork Institute Of Technology | Location and tracking system |
US20120007779A1 (en) * | 2009-03-19 | 2012-01-12 | Martin Klepal | location and tracking system |
US8494556B2 (en) * | 2009-07-17 | 2013-07-23 | Siemens Aktiengesellschaft | Method for calibrating a propagation-time-based localization system |
US20120122484A1 (en) * | 2009-07-17 | 2012-05-17 | Maksym Marchenko | Method for calibrating a propagation-time-based localization system |
US10070258B2 (en) | 2009-07-24 | 2018-09-04 | Corning Optical Communications LLC | Location tracking using fiber optic array cables and related systems and methods |
US9590733B2 (en) | 2009-07-24 | 2017-03-07 | Corning Optical Communications LLC | Location tracking using fiber optic array cables and related systems and methods |
US8233457B1 (en) * | 2009-09-03 | 2012-07-31 | Qualcomm Atheros, Inc. | Synchronization-free station locator in wireless network |
US8565133B2 (en) | 2009-09-03 | 2013-10-22 | Qualcomm Incorporated | Synchronization-free station locator in wireless network |
US20110149756A1 (en) * | 2009-12-23 | 2011-06-23 | Verizon Patent And Licensing Inc. | Packet based location provisioning in wireless networks |
US20110170524A1 (en) * | 2009-12-23 | 2011-07-14 | Arslan Tughrul Sati | Locating electromagnetic signal sources |
US20130250795A1 (en) * | 2009-12-23 | 2013-09-26 | Verizon Patent And Licensing Inc. | Packet based location provisioning in wireless networks |
US8634359B2 (en) * | 2009-12-23 | 2014-01-21 | Sensewhere Limited | Locating electromagnetic signal sources |
US8467309B2 (en) * | 2009-12-23 | 2013-06-18 | Verizon Patent And Licensing Inc. | Packet based location provisioning in wireless networks |
US9128172B2 (en) * | 2009-12-23 | 2015-09-08 | Verizon Patent And Licensing Inc. | Packet based location provisioning in wireless networks |
US9609617B2 (en) | 2009-12-23 | 2017-03-28 | Sensewhere Limited | Locating electromagnetic signal sources |
US20140104109A1 (en) * | 2009-12-28 | 2014-04-17 | Maxlinear, Inc. | GNSS Reception Using Distributed Time Synchronization |
US9337995B2 (en) * | 2009-12-28 | 2016-05-10 | Maxlinear, Inc. | GNSS reception using distributed time synchronization |
US20110207476A1 (en) * | 2010-01-26 | 2011-08-25 | Murad Qahwash | GPS-Based Location System and Method |
US8452306B2 (en) * | 2010-01-26 | 2013-05-28 | MU Research & Development Grove, LLC | GPS-based location system and method |
US9196157B2 (en) | 2010-02-25 | 2015-11-24 | AT&T Mobolity II LLC | Transportation analytics employing timed fingerprint location information |
US9053513B2 (en) | 2010-02-25 | 2015-06-09 | At&T Mobility Ii Llc | Fraud analysis for a location aware transaction |
US9008684B2 (en) | 2010-02-25 | 2015-04-14 | At&T Mobility Ii Llc | Sharing timed fingerprint location information |
US8886219B2 (en) | 2010-02-25 | 2014-11-11 | At&T Mobility Ii Llc | Timed fingerprint locating in wireless networks |
US8873416B2 (en) * | 2010-02-26 | 2014-10-28 | University Of Cape Town | System and method for estimating round-trip time in telecommunication networks |
US20120307675A1 (en) * | 2010-02-26 | 2012-12-06 | University Of Cape Town | system and method for estimating round-trip time in telecommuncation networks |
US20120327803A1 (en) * | 2010-03-08 | 2012-12-27 | Neung-Hyung Lee | Apparatus and method for forwarding packet by evolved node-b in wireless communication system |
US20110239226A1 (en) * | 2010-03-23 | 2011-09-29 | Cesare Placanica | Controlling congestion in message-oriented middleware |
US9967032B2 (en) | 2010-03-31 | 2018-05-08 | Corning Optical Communications LLC | Localization services in optical fiber-based distributed communications components and systems, and related methods |
US9247446B2 (en) | 2010-04-30 | 2016-01-26 | Qualcomm Incorporated | Mobile station use of round trip time measurements |
US9137681B2 (en) | 2010-04-30 | 2015-09-15 | Qualcomm Incorporated | Device for round trip time measurements |
US8781492B2 (en) | 2010-04-30 | 2014-07-15 | Qualcomm Incorporated | Device for round trip time measurements |
US8370629B1 (en) | 2010-05-07 | 2013-02-05 | Qualcomm Incorporated | Trusted hybrid location system |
US8743699B1 (en) | 2010-05-07 | 2014-06-03 | Qualcomm Incorporated | RFID tag assisted GPS receiver system |
US8675539B1 (en) | 2010-05-07 | 2014-03-18 | Qualcomm Incorporated | Management-packet communication of GPS satellite positions |
US8681741B1 (en) | 2010-05-07 | 2014-03-25 | Qualcomm Incorporated | Autonomous hybrid WLAN/GPS location self-awareness |
US9049563B2 (en) | 2010-07-09 | 2015-06-02 | Digimarc Corporation | Mobile device positioning in dynamic groupings of communication devices |
US9363783B2 (en) | 2010-07-09 | 2016-06-07 | Digimarc Corporation | Mobile device positioning in dynamic groupings of communication devices |
US20120013475A1 (en) * | 2010-07-16 | 2012-01-19 | Qualcomm Incorporated | Location determination using radio wave measurements and pressure measurements |
US8890705B2 (en) * | 2010-07-16 | 2014-11-18 | Qualcomm Incorporated | Location determination using radio wave measurements and pressure measurements |
US9913094B2 (en) | 2010-08-09 | 2018-03-06 | Corning Optical Communications LLC | Apparatuses, systems, and methods for determining location of a mobile device(s) in a distributed antenna system(s) |
US10959047B2 (en) | 2010-08-09 | 2021-03-23 | Corning Optical Communications LLC | Apparatuses, systems, and methods for determining location of a mobile device(s) in a distributed antenna system(s) |
US11653175B2 (en) | 2010-08-09 | 2023-05-16 | Corning Optical Communications LLC | Apparatuses, systems, and methods for determining location of a mobile device(s) in a distributed antenna system(s) |
US10448205B2 (en) | 2010-08-09 | 2019-10-15 | Corning Optical Communications LLC | Apparatuses, systems, and methods for determining location of a mobile device(s) in a distributed antenna system(s) |
US8996031B2 (en) | 2010-08-27 | 2015-03-31 | At&T Mobility Ii Llc | Location estimation of a mobile device in a UMTS network |
US10962652B2 (en) | 2010-10-08 | 2021-03-30 | Samsung Electronics Co., Ltd. | Determining context of a mobile computer |
US9116230B2 (en) | 2010-10-08 | 2015-08-25 | HJ Laboratories, LLC | Determining floor location and movement of a mobile computer in a building |
US10107916B2 (en) | 2010-10-08 | 2018-10-23 | Samsung Electronics Co., Ltd. | Determining context of a mobile computer |
US9244173B1 (en) * | 2010-10-08 | 2016-01-26 | Samsung Electronics Co. Ltd. | Determining context of a mobile computer |
US9684079B2 (en) | 2010-10-08 | 2017-06-20 | Samsung Electronics Co., Ltd. | Determining context of a mobile computer |
US9110159B2 (en) | 2010-10-08 | 2015-08-18 | HJ Laboratories, LLC | Determining indoor location or position of a mobile computer using building information |
US9176230B2 (en) | 2010-10-08 | 2015-11-03 | HJ Laboratories, LLC | Tracking a mobile computer indoors using Wi-Fi, motion, and environmental sensors |
US9182494B2 (en) | 2010-10-08 | 2015-11-10 | HJ Laboratories, LLC | Tracking a mobile computer indoors using wi-fi and motion sensor information |
US20120129545A1 (en) * | 2010-11-19 | 2012-05-24 | IIlume Software, Inc. | Systems and methods for selectively invoking positioning systems for mobile device control applications using multiple sensing modalities |
US9813900B2 (en) | 2010-12-01 | 2017-11-07 | At&T Mobility Ii Llc | Motion-based user interface feature subsets |
US9009629B2 (en) | 2010-12-01 | 2015-04-14 | At&T Mobility Ii Llc | Motion-based user interface feature subsets |
US20120140647A1 (en) * | 2010-12-06 | 2012-06-07 | Jie Gao | Communications Techniques For Bursty Noise Environments |
US8824288B2 (en) * | 2010-12-06 | 2014-09-02 | Intel Corporation | Communications techniques for bursty noise environments |
US8692667B2 (en) | 2011-01-19 | 2014-04-08 | Qualcomm Incorporated | Methods and apparatus for distributed learning of parameters of a fingerprint prediction map model |
US20120201143A1 (en) * | 2011-02-07 | 2012-08-09 | Schmidt Jeffrey C | System and method for managing wireless connections and radio resources |
US8804680B2 (en) * | 2011-02-07 | 2014-08-12 | Spectrum Bridge, Inc. | System and method for managing wireless connections and radio resources |
US9749883B2 (en) * | 2011-02-14 | 2017-08-29 | Thomson Licensing | Troubleshooting WI-FI connectivity by measuring the round trip time of packets sent with different modulation rates |
US20130316754A1 (en) * | 2011-02-17 | 2013-11-28 | Robert Skog | Devices, methods, and computer programs for detecting potential displacement of a wireless transceiver |
US9538405B2 (en) * | 2011-02-17 | 2017-01-03 | Telefonaktiebolaget Lm Ericsson (Publ) | Devices, methods, and computer programs for detecting potential displacement of a wireless transceiver |
US20120269080A1 (en) * | 2011-04-25 | 2012-10-25 | Domenico Giustiniano | Carrier sense-based ranging |
US9057771B2 (en) * | 2011-04-25 | 2015-06-16 | Disney Enterprises, Inc. | Carrier sense-based ranging |
CN103547938A (en) * | 2011-05-19 | 2014-01-29 | 高通股份有限公司 | Measurements and information gathering in a wireless network environment |
US20120295654A1 (en) * | 2011-05-19 | 2012-11-22 | Qualcomm Incorporated | Measurements and information gathering in a wireless network environment |
WO2012158229A1 (en) | 2011-05-19 | 2012-11-22 | Qualcomm Incorporated | Measurements and information gathering in a wireless network environment |
US9037180B2 (en) * | 2011-05-19 | 2015-05-19 | Qualcomm Incorporated | Measurements and information gathering in a wireless network environment |
US8547870B2 (en) | 2011-06-07 | 2013-10-01 | Qualcomm Incorporated | Hybrid positioning mechanism for wireless communication devices |
US8509809B2 (en) | 2011-06-10 | 2013-08-13 | Qualcomm Incorporated | Third party device location estimation in wireless communication networks |
US8909244B2 (en) | 2011-06-28 | 2014-12-09 | Qualcomm Incorporated | Distributed positioning mechanism for wireless communication devices |
US20150230100A1 (en) * | 2011-06-30 | 2015-08-13 | Aboelmagd Noureldin | System and method for wireless positioning in wireless network-enabled environments |
US10349286B2 (en) * | 2011-06-30 | 2019-07-09 | Invensense, Inc. | System and method for wireless positioning in wireless network-enabled environments |
US10091678B2 (en) | 2011-07-01 | 2018-10-02 | At&T Mobility Ii Llc | Subscriber data analysis and graphical rendering |
US9462497B2 (en) | 2011-07-01 | 2016-10-04 | At&T Mobility Ii Llc | Subscriber data analysis and graphical rendering |
US11483727B2 (en) | 2011-07-01 | 2022-10-25 | At&T Mobility Ii Llc | Subscriber data analysis and graphical rendering |
US10972928B2 (en) | 2011-07-01 | 2021-04-06 | At&T Mobility Ii Llc | Subscriber data analysis and graphical rendering |
US10701577B2 (en) | 2011-07-01 | 2020-06-30 | At&T Mobility Ii Llc | Subscriber data analysis and graphical rendering |
WO2013010204A1 (en) * | 2011-07-20 | 2013-01-24 | Commonwealth Scientific And Industrial Research Organisation | Wireless localisation system |
US9313764B2 (en) | 2011-07-20 | 2016-04-12 | Commonwealth Scientific And Industrial Research Organisation | Wireless localisation system |
US9519043B2 (en) | 2011-07-21 | 2016-12-13 | At&T Mobility Ii Llc | Estimating network based locating error in wireless networks |
US10085270B2 (en) | 2011-07-21 | 2018-09-25 | At&T Mobility Ii Llc | Selection of a radio access technology resource based on radio access technology resource historical information |
US9008698B2 (en) | 2011-07-21 | 2015-04-14 | At&T Mobility Ii Llc | Location analytics employing timed fingerprint location information |
US9510355B2 (en) | 2011-07-21 | 2016-11-29 | At&T Mobility Ii Llc | Selection of a radio access technology resource based on radio access technology resource historical information |
US8897802B2 (en) | 2011-07-21 | 2014-11-25 | At&T Mobility Ii Llc | Selection of a radio access technology resource based on radio access technology resource historical information |
US8892112B2 (en) | 2011-07-21 | 2014-11-18 | At&T Mobility Ii Llc | Selection of a radio access bearer resource based on radio access bearer resource historical information |
US9232525B2 (en) | 2011-07-21 | 2016-01-05 | At&T Mobility Ii Llc | Selection of a radio access technology resource based on radio access technology resource historical information |
US20130021912A1 (en) * | 2011-07-22 | 2013-01-24 | Keir Finlow-Bates | System and method for testing wireless position locating |
WO2013016076A1 (en) * | 2011-07-22 | 2013-01-31 | Qualcomm Atheros, Inc. | System and method for testing wireless position locating |
US8638671B2 (en) * | 2011-07-22 | 2014-01-28 | Qualcomm Incorporated | System and method for testing wireless position locating |
US10229411B2 (en) | 2011-08-05 | 2019-03-12 | At&T Mobility Ii Llc | Fraud analysis for a location aware transaction |
US8923134B2 (en) | 2011-08-29 | 2014-12-30 | At&T Mobility Ii Llc | Prioritizing network failure tickets using mobile location data |
US9332383B2 (en) | 2011-09-19 | 2016-05-03 | Qualcomm Incorporated | Time of arrival based positioning system |
US8457655B2 (en) | 2011-09-19 | 2013-06-04 | Qualcomm Incorporated | Hybrid time of arrival based positioning system |
US8489114B2 (en) | 2011-09-19 | 2013-07-16 | Qualcomm Incorporated | Time difference of arrival based positioning system |
US8521181B2 (en) | 2011-09-19 | 2013-08-27 | Qualcomm Incorporated | Time of arrival based positioning system |
US20130081101A1 (en) * | 2011-09-27 | 2013-03-28 | Amazon Technologies, Inc. | Policy compliance-based secure data access |
US8756651B2 (en) * | 2011-09-27 | 2014-06-17 | Amazon Technologies, Inc. | Policy compliance-based secure data access |
US9161293B2 (en) * | 2011-09-28 | 2015-10-13 | Avaya Inc. | Method and apparatus for using received signal strength indicator (RSSI) filtering to provide air-time optimization in wireless networks |
US20130077505A1 (en) * | 2011-09-28 | 2013-03-28 | Avaya Inc. | Method And Apparatus For Using Received Signal Strength Indicator (RSSI) Filtering To Provide Air-Time Optimization In Wireless Networks |
US10448195B2 (en) | 2011-10-20 | 2019-10-15 | At&T Mobility Ii Llc | Transportation analytics employing timed fingerprint location information |
JP2015501425A (en) * | 2011-10-21 | 2015-01-15 | クゥアルコム・インコーポレイテッドQualcomm Incorporated | Arrival time based wireless positioning system |
CN103890604A (en) * | 2011-10-21 | 2014-06-25 | 高通股份有限公司 | Time of arrival based wireless positioning system |
US8755304B2 (en) | 2011-10-21 | 2014-06-17 | Qualcomm Incorporated | Time of arrival based positioning for wireless communication systems |
WO2013059636A1 (en) * | 2011-10-21 | 2013-04-25 | Qualcomm Incorporated | Time of arrival based wireless positioning system |
US9103690B2 (en) | 2011-10-28 | 2015-08-11 | At&T Mobility Ii Llc | Automatic travel time and routing determinations in a wireless network |
US9191821B2 (en) | 2011-10-28 | 2015-11-17 | At&T Mobility Ii Llc | Sharing timed fingerprint location information |
US9681300B2 (en) | 2011-10-28 | 2017-06-13 | At&T Mobility Ii Llc | Sharing timed fingerprint location information |
US10206113B2 (en) | 2011-10-28 | 2019-02-12 | At&T Mobility Ii Llc | Sharing timed fingerprint location information |
US9372254B2 (en) * | 2011-10-31 | 2016-06-21 | Panasonic Intellectual Property Corporation Of America | Position estimation device, position estimation method, program and integrated circuit |
US20140213290A1 (en) * | 2011-10-31 | 2014-07-31 | Panasonic Corporation | Position estimation device, position estimation method, program and integrated circuit |
US20140206381A1 (en) * | 2011-10-31 | 2014-07-24 | Panasonic Corporation | Position estimation device, position estimation method, program, and integrated circuit |
US9404996B2 (en) * | 2011-10-31 | 2016-08-02 | Panasonic Intellectual Property Corporation Of America | Position estimation device, position estimation method, program, and integrated circuit |
US10084824B2 (en) | 2011-11-08 | 2018-09-25 | At&T Intellectual Property I, L.P. | Location based sharing of a network access credential |
US11212320B2 (en) | 2011-11-08 | 2021-12-28 | At&T Mobility Ii Llc | Location based sharing of a network access credential |
US8909247B2 (en) | 2011-11-08 | 2014-12-09 | At&T Mobility Ii Llc | Location based sharing of a network access credential |
US9667660B2 (en) | 2011-11-08 | 2017-05-30 | At&T Intellectual Property I, L.P. | Location based sharing of a network access credential |
US10362066B2 (en) | 2011-11-08 | 2019-07-23 | At&T Intellectual Property I, L.P. | Location based sharing of a network access credential |
US9232399B2 (en) | 2011-11-08 | 2016-01-05 | At&T Intellectual Property I, L.P. | Location based sharing of a network access credential |
US10594739B2 (en) | 2011-11-08 | 2020-03-17 | At&T Intellectual Property I, L.P. | Location based sharing of a network access credential |
US9648479B2 (en) | 2011-11-14 | 2017-05-09 | Avaya Inc. | Determination by PSAPs of caller location based on the WiFi hot spots detected and reported by the caller's device(s) |
US20130122851A1 (en) * | 2011-11-14 | 2013-05-16 | Avaya Inc. | Determination by psaps of caller location based on the wifi hot spots detected and reported by the caller's device(s) |
US8965326B2 (en) * | 2011-11-14 | 2015-02-24 | Avaya Inc. | Determination by PSAPs of caller location based on the WiFi hot spots detected and reported by the caller's device(s) |
WO2013074424A1 (en) * | 2011-11-15 | 2013-05-23 | Qualcomm Incorporated | Method and apparatus for determining distance in a wi-fi network |
US9143967B2 (en) | 2011-11-15 | 2015-09-22 | Qualcomm Incorporated | Method and apparatus for determining distance in a Wi-Fi network |
US8787191B2 (en) | 2011-11-15 | 2014-07-22 | Qualcomm Incorporated | Method and apparatus for determining distance in a Wi-Fi network |
US20130130718A1 (en) * | 2011-11-18 | 2013-05-23 | Samsung Electronics Co., Ltd. | Method and apparatus for providing an alert on a user equipment entering an alerting area |
US9131338B2 (en) * | 2011-11-18 | 2015-09-08 | Samsung Electronics Co., Ltd. | Method and apparatus for providing an alert on a user equipment entering an alerting area |
US9810765B2 (en) | 2011-11-28 | 2017-11-07 | At&T Mobility Ii Llc | Femtocell calibration for timing based locating systems |
US9026133B2 (en) | 2011-11-28 | 2015-05-05 | At&T Mobility Ii Llc | Handset agent calibration for timing based locating systems |
US9743369B2 (en) | 2011-11-28 | 2017-08-22 | At&T Mobility Ii Llc | Handset agent calibration for timing based locating systems |
US8970432B2 (en) | 2011-11-28 | 2015-03-03 | At&T Mobility Ii Llc | Femtocell calibration for timing based locating systems |
CN104136934B (en) * | 2011-12-05 | 2016-11-09 | 高通股份有限公司 | For selecting transmitting equipment for the method and apparatus of positioning function |
US9476966B2 (en) * | 2011-12-05 | 2016-10-25 | Qualcomm Incorporated | Methods and apparatuses for use in selecting a transmitting device for use in a positioning function |
US20130143590A1 (en) * | 2011-12-05 | 2013-06-06 | Qualcomm Incorporated | Methods and apparatuses for use in selecting a transmitting device for use in a positioning function |
CN104136934A (en) * | 2011-12-05 | 2014-11-05 | 高通股份有限公司 | Methods and apparatuses for use in selecting a transmitting device for use in a positioning function |
WO2013086393A1 (en) * | 2011-12-08 | 2013-06-13 | Qualcomm Incorporated | Positioning technique for wireless communication system |
US8824325B2 (en) | 2011-12-08 | 2014-09-02 | Qualcomm Incorporated | Positioning technique for wireless communication system |
US20130155102A1 (en) * | 2011-12-20 | 2013-06-20 | Honeywell International Inc. | Systems and methods of accuracy mapping in a location tracking system |
US20170160377A1 (en) * | 2011-12-20 | 2017-06-08 | Honeywell International Inc. | Systems and methods of accuracy mapping in a location tracking system |
US10267893B2 (en) * | 2011-12-20 | 2019-04-23 | Honeywell International Inc. | Systems and methods of accuracy mapping in a location tracking system |
US20140329543A1 (en) * | 2012-02-22 | 2014-11-06 | Ntt Docomo, Inc. | Radio communication device, radio communication system, and position estimation method |
US9080882B2 (en) | 2012-03-02 | 2015-07-14 | Qualcomm Incorporated | Visual OCR for positioning |
US20130250931A1 (en) * | 2012-03-13 | 2013-09-26 | Qualcomm Incorporated | Limiting wireless discovery range |
US9510292B2 (en) * | 2012-03-13 | 2016-11-29 | Qualcomm Incorporated | Limiting wireless discovery range |
US10783531B2 (en) | 2012-03-16 | 2020-09-22 | Square, Inc. | Cardless payment transactions based on geographic locations of user devices |
US9891307B2 (en) | 2012-03-21 | 2018-02-13 | Digimarc Corporation | Positioning systems for wireless networks |
US9282471B2 (en) | 2012-03-21 | 2016-03-08 | Digimarc Corporation | Positioning systems for wireless networks |
US8805403B2 (en) * | 2012-04-05 | 2014-08-12 | Qualcomm Incorporated | Automatic data accuracy maintenance in a Wi-Fi access point location database |
US9563784B2 (en) | 2012-04-13 | 2017-02-07 | At&T Mobility Ii Llc | Event driven permissive sharing of information |
US9864875B2 (en) | 2012-04-13 | 2018-01-09 | At&T Mobility Ii Llc | Event driven permissive sharing of information |
US8925104B2 (en) | 2012-04-13 | 2014-12-30 | At&T Mobility Ii Llc | Event driven permissive sharing of information |
US9781553B2 (en) | 2012-04-24 | 2017-10-03 | Corning Optical Communications LLC | Location based services in a distributed communication system, and related components and methods |
US9684060B2 (en) | 2012-05-29 | 2017-06-20 | CorningOptical Communications LLC | Ultrasound-based localization of client devices with inertial navigation supplement in distributed communication systems and related devices and methods |
US20130324149A1 (en) * | 2012-06-04 | 2013-12-05 | At&T Mobility Ii Llc | Adaptive calibration of measurements for a wireless radio network |
US8929827B2 (en) * | 2012-06-04 | 2015-01-06 | At&T Mobility Ii Llc | Adaptive calibration of measurements for a wireless radio network |
US20150163633A1 (en) * | 2012-06-08 | 2015-06-11 | Google Inc. | Crowdsourced Signal Propagation Model |
US9380424B2 (en) * | 2012-06-08 | 2016-06-28 | Google Inc. | Crowdsourced signal propagation model |
US20130329702A1 (en) * | 2012-06-11 | 2013-12-12 | Qualcomm Incorporated | Inter-Frame Spacing Duration for Sub-1 Gigahertz Wireless Networks |
US9386584B2 (en) * | 2012-06-11 | 2016-07-05 | Qualcomm Incorporated | Inter-frame spacing duration for sub-1 gigahertz wireless networks |
US9955451B2 (en) | 2012-06-12 | 2018-04-24 | At&T Mobility Ii Llc | Event tagging for mobile networks |
US9596671B2 (en) | 2012-06-12 | 2017-03-14 | At&T Mobility Ii Llc | Event tagging for mobile networks |
US9094929B2 (en) | 2012-06-12 | 2015-07-28 | At&T Mobility Ii Llc | Event tagging for mobile networks |
US10687302B2 (en) | 2012-06-12 | 2020-06-16 | At&T Mobility Ii Llc | Event tagging for mobile networks |
US9723446B2 (en) | 2012-06-13 | 2017-08-01 | At&T Mobility Ii Llc | Site location determination using crowd sourced propagation delay and location data |
US10477347B2 (en) | 2012-06-13 | 2019-11-12 | At&T Mobility Ii Llc | Site location determination using crowd sourced propagation delay and location data |
US9046592B2 (en) | 2012-06-13 | 2015-06-02 | At&T Mobility Ii Llc | Timed fingerprint locating at user equipment |
US9521647B2 (en) | 2012-06-13 | 2016-12-13 | At&T Mobility Ii Llc | Site location determination using crowd sourced propagation delay and location data |
US9326263B2 (en) | 2012-06-13 | 2016-04-26 | At&T Mobility Ii Llc | Site location determination using crowd sourced propagation delay and location data |
US8938258B2 (en) | 2012-06-14 | 2015-01-20 | At&T Mobility Ii Llc | Reference based location information for a wireless network |
US9473897B2 (en) | 2012-06-14 | 2016-10-18 | At&T Mobility Ii Llc | Reference based location information for a wireless network |
US9769623B2 (en) | 2012-06-14 | 2017-09-19 | At&T Mobility Ii Llc | Reference based location information for a wireless network |
US9769615B2 (en) | 2012-06-15 | 2017-09-19 | At&T Intellectual Property I, L.P. | Geographic redundancy determination for time based location information in a wireless radio network |
US9615349B2 (en) | 2012-06-15 | 2017-04-04 | At&T Intellectual Property I, L.P. | Geographic redundancy determination for time based location information in a wireless radio network |
US9398556B2 (en) | 2012-06-15 | 2016-07-19 | At&T Intellectual Property I, L.P. | Geographic redundancy determination for time based location information in a wireless radio network |
US20130337829A1 (en) * | 2012-06-15 | 2013-12-19 | At&T Intellectual Property I, L.P. | Geographic redundancy determination for time based location information in a wireless radio network |
US8897805B2 (en) * | 2012-06-15 | 2014-11-25 | At&T Intellectual Property I, L.P. | Geographic redundancy determination for time based location information in a wireless radio network |
US10225816B2 (en) | 2012-06-19 | 2019-03-05 | At&T Mobility Ii Llc | Facilitation of timed fingerprint mobile device locating |
US9408174B2 (en) | 2012-06-19 | 2016-08-02 | At&T Mobility Ii Llc | Facilitation of timed fingerprint mobile device locating |
US20130346217A1 (en) * | 2012-06-22 | 2013-12-26 | Cisco Technology, Inc. | Mobile device location analytics for use in content selection |
US9100360B2 (en) * | 2012-06-28 | 2015-08-04 | Cable Television Laboratories, Inc. | Contextual awareness architecture |
US9961686B2 (en) | 2012-06-28 | 2018-05-01 | Cable Television Laboratories, Inc. | Contextual awareness architecture |
US9247441B2 (en) | 2012-07-17 | 2016-01-26 | At&T Mobility Ii Llc | Facilitation of delay error correction in timing-based location systems |
US8892054B2 (en) | 2012-07-17 | 2014-11-18 | At&T Mobility Ii Llc | Facilitation of delay error correction in timing-based location systems |
US9591495B2 (en) | 2012-07-17 | 2017-03-07 | At&T Mobility Ii Llc | Facilitation of delay error correction in timing-based location systems |
US10383128B2 (en) | 2012-07-25 | 2019-08-13 | At&T Mobility Ii Llc | Assignment of hierarchical cell structures employing geolocation techniques |
US9351223B2 (en) | 2012-07-25 | 2016-05-24 | At&T Mobility Ii Llc | Assignment of hierarchical cell structures employing geolocation techniques |
US10039111B2 (en) | 2012-07-25 | 2018-07-31 | At&T Mobility Ii Llc | Assignment of hierarchical cell structures employing geolocation techniques |
US20140058778A1 (en) * | 2012-08-24 | 2014-02-27 | Vmware, Inc. | Location-aware calendaring |
US10009713B2 (en) * | 2012-08-31 | 2018-06-26 | Apple Inc. | Proximity and tap detection using a wireless system |
US10306447B2 (en) * | 2012-08-31 | 2019-05-28 | Apple Inc. | Proximity and tap detection using a wireless system |
US9769598B2 (en) * | 2012-08-31 | 2017-09-19 | Apple Inc. | Proximity and tap detection using a wireless system |
US20160316318A1 (en) * | 2012-08-31 | 2016-10-27 | Apple Inc. | Proximity and tap detection using a wireless system |
US9306640B2 (en) | 2012-09-07 | 2016-04-05 | Qualcomm Incorporated | Selecting a modulation and coding scheme for beamformed communication |
US20140073352A1 (en) * | 2012-09-11 | 2014-03-13 | Qualcomm Incorporated | Method for precise location determination |
CN102905368A (en) * | 2012-10-18 | 2013-01-30 | 无锡儒安科技有限公司 | Mobile auxiliary indoor positioning method and system based on smart phone platform |
CN102905368B (en) * | 2012-10-18 | 2015-06-10 | 无锡儒安科技有限公司 | Mobile auxiliary indoor positioning method and system based on smart phone platform |
US11449854B1 (en) | 2012-10-29 | 2022-09-20 | Block, Inc. | Establishing consent for cardless transactions using short-range transmission |
US10373151B1 (en) | 2012-11-20 | 2019-08-06 | Square, Inc. | Multiple merchants in cardless payment transactions and multiple customers in cardless payment transactions |
US10393868B2 (en) | 2012-11-27 | 2019-08-27 | At&T Intellectual Property I, L.P. | Electromagnetic reflection profiles |
US9874632B2 (en) | 2012-11-27 | 2018-01-23 | At&T Intellectual Property I, L.P. | Electromagnetic reflection profiles |
US20140145873A1 (en) * | 2012-11-27 | 2014-05-29 | At&T Intellectual Property I, L.P. | Electromagnetic Reflection Profiles |
US10823835B2 (en) | 2012-11-27 | 2020-11-03 | At&T Intellectual Property I, L.P. | Electromagnetic reflection profiles |
US9188668B2 (en) * | 2012-11-27 | 2015-11-17 | At&T Intellectual Property I, L.P. | Electromagnetic reflection profiles |
WO2014089531A1 (en) * | 2012-12-06 | 2014-06-12 | Qualcomm Incorporated | Providing and utilizing maps in location determination based on rssi and rtt data |
CN104838280A (en) * | 2012-12-06 | 2015-08-12 | 高通股份有限公司 | Providing and utilizing maps in location determination based on RSSI and RTT data |
US9451404B2 (en) * | 2012-12-12 | 2016-09-20 | Ahmad AL-NAJJAR | System and method for determining a position of a mobile unit |
US20150304816A1 (en) * | 2012-12-12 | 2015-10-22 | Ahmad AL-NAJJAR | System and method for determining a position of a mobile unit |
AU2013357070B2 (en) * | 2012-12-12 | 2016-10-27 | Ahmad Al-Najjar | System and method for determining a position of a mobile unit |
US9213093B2 (en) | 2012-12-21 | 2015-12-15 | Qualcomm Incorporated | Pairwise measurements for improved position determination |
US9817112B2 (en) | 2012-12-21 | 2017-11-14 | Qualcomm Incorporated | Pairwise measurements for improved position determination |
WO2014107280A1 (en) * | 2013-01-03 | 2014-07-10 | Qualcomm Incorporated | Processing delay estimate based on crowdsourcing data |
CN104885538A (en) * | 2013-01-03 | 2015-09-02 | 高通股份有限公司 | Processing delay estimate based on crowdsourcing data |
US9307432B2 (en) | 2013-01-03 | 2016-04-05 | Qualcomm Incorporated | Processing delay estimate based on crowdsourcing data |
US8818424B2 (en) * | 2013-01-03 | 2014-08-26 | Qualcomm Incorporated | Inter-AP distance estimation using crowd sourcing |
WO2014109997A1 (en) * | 2013-01-08 | 2014-07-17 | Qualcomm Incorporated | Method, system and/or device for adjusting expected received signal strength signature values |
US9008695B2 (en) | 2013-01-08 | 2015-04-14 | Qualcomm Incorporated | Method, system and/or device for adjusting expected received signal strength signature values |
US9906898B2 (en) | 2013-01-08 | 2018-02-27 | Qualcomm Incorporated | Method, systems and/or device for adjusting expected received signal strength signature values |
US9026138B2 (en) * | 2013-01-10 | 2015-05-05 | Qualcomm Incorporated | Method and/or system for obtaining signatures for use in navigation |
US9813929B2 (en) | 2013-01-11 | 2017-11-07 | Nokia Technologies Oy | Obtaining information for radio channel modeling |
WO2014108757A1 (en) * | 2013-01-11 | 2014-07-17 | Nokia Corporation | Obtaining information for radio channel modeling |
US9311790B2 (en) | 2013-01-15 | 2016-04-12 | Gojo Industries, Inc. | Systems and methods for locating a public facility |
WO2014113219A3 (en) * | 2013-01-15 | 2014-09-25 | Gojo Industries, Inc. | Systems and methods for locating a public facility |
WO2014113219A2 (en) * | 2013-01-15 | 2014-07-24 | Gojo Industries, Inc. | Systems and methods for locating a public facility |
WO2014120403A1 (en) * | 2013-01-29 | 2014-08-07 | Qualcomm Incorporated | System and method for choosing suitable access points |
US9432882B2 (en) | 2013-01-29 | 2016-08-30 | Qualcomm Incorporated | System and method for deploying an RTT-based indoor positioning system |
US10885522B1 (en) | 2013-02-08 | 2021-01-05 | Square, Inc. | Updating merchant location for cardless payment transactions |
US10064154B2 (en) | 2013-03-06 | 2018-08-28 | Intel Corporation | System and method for channel information exchange for time of flight range determination |
US20160316335A1 (en) * | 2013-03-11 | 2016-10-27 | Intel Corporation | Techniques for Wirelessly Docking to a Device |
US10397738B2 (en) * | 2013-03-11 | 2019-08-27 | Intel Corporation | Techniques for wirelessly docking to a device |
US20140269400A1 (en) * | 2013-03-14 | 2014-09-18 | Qualcomm Incorporated | Broadcasting short interframe space information for location purposes |
US10281922B2 (en) * | 2013-03-15 | 2019-05-07 | Mtd Products Inc | Method and system for mobile work system confinement and localization |
US9229093B2 (en) | 2013-04-18 | 2016-01-05 | Mediatek Inc. | Method for estimating a location of an electronic device with aid of information carried by responses corresponding to one broadcast request sent to multiple devices, and associated apparatus |
US11032726B2 (en) * | 2013-06-12 | 2021-06-08 | Andrew Wireless Systems Gmbh | Optimization system for distributed antenna system |
US20140370884A1 (en) * | 2013-06-12 | 2014-12-18 | Andrew Wireless Systems Gmbh | Optimization System for Distributed Antenna System |
US20160219550A1 (en) * | 2013-06-26 | 2016-07-28 | Qualcomm Incorporated | Utilizing motion detection in estimating variability of positioning related metrics |
CN107450050A (en) * | 2013-06-26 | 2017-12-08 | 高通股份有限公司 | The changeability of positioning calculation of correlation is estimated using motion detection |
US20150005016A1 (en) * | 2013-06-26 | 2015-01-01 | Qualcomm Incorporated | Utilizing motion detection in estimating variability of positioning related metrics |
US9686768B2 (en) * | 2013-06-26 | 2017-06-20 | Qualcomm Incorporated | Utilizing motion detection in estimating variability of positioning related metrics |
US9357354B2 (en) * | 2013-06-26 | 2016-05-31 | Qualcomm Incorporated | Utilizing motion detection in estimating variability of positioning related metrics |
US9781561B2 (en) | 2013-07-18 | 2017-10-03 | Lg Electronics Inc. | Method and apparatus for calculating location of electronic device |
WO2015008953A1 (en) * | 2013-07-18 | 2015-01-22 | Lg Electronics Inc. | Method and apparatus for calculating location of electronic device |
US10560808B2 (en) | 2013-07-23 | 2020-02-11 | Square, Inc. | Computing distances of devices |
US20150031393A1 (en) * | 2013-07-23 | 2015-01-29 | Square, Inc. | Computing distances of devices |
US9924322B2 (en) * | 2013-07-23 | 2018-03-20 | Square, Inc. | Computing distances of devices |
US9241353B2 (en) | 2013-07-26 | 2016-01-19 | Qualcomm Incorporated | Communications between a mobile device and an access point device |
US9900918B2 (en) | 2013-07-26 | 2018-02-20 | Qualcomm Incorporated | Communications between a mobile device and an access point device |
US20150045055A1 (en) * | 2013-08-06 | 2015-02-12 | Gaby Prechner | Time of flight responders |
US20150055492A1 (en) * | 2013-08-21 | 2015-02-26 | Qualcomm Incorporated | System and method for selecting a wi-fi access point for position determnation |
US9538330B2 (en) * | 2013-08-21 | 2017-01-03 | Quallcomm Incorporated | System and method for selecting a Wi-Fi access point for position determination |
US10499262B2 (en) | 2013-08-30 | 2019-12-03 | Qualcomm Incorporated | Passive positioning utilizing beacon neighbor reports |
US9661603B2 (en) | 2013-08-30 | 2017-05-23 | Qualcomm Incorporated | Passive positioning utilizing beacon neighbor reports |
TWI505670B (en) * | 2013-09-17 | 2015-10-21 | Wistron Neweb Corp | Network managing method and device for wireless network system |
US9264920B2 (en) | 2013-09-17 | 2016-02-16 | Wiston NeWeb Corporation | Network managing method and device for wireless network system |
US10332162B1 (en) | 2013-09-30 | 2019-06-25 | Square, Inc. | Using wireless beacons for transit systems |
US9426770B2 (en) | 2013-09-30 | 2016-08-23 | Qualcomm Incorporated | Access point selection for network-based positioning |
US11587146B1 (en) | 2013-11-13 | 2023-02-21 | Block, Inc. | Wireless beacon shopping experience |
US20150131460A1 (en) * | 2013-11-13 | 2015-05-14 | Qualcomm Incorporated | Method and apparatus for using rssi and rtt information for choosing access points to associate with |
US9775126B2 (en) | 2013-11-29 | 2017-09-26 | Fedex Corporate Services, Inc. | Node-enabled monitoring of activity of a person using a hierarchical node network |
US9913240B2 (en) | 2013-11-29 | 2018-03-06 | Fedex Corporate Services, Inc. | Methods and systems for automating a logistics transaction using an autonomous vehicle and elements of a wireless node network |
US9984349B2 (en) | 2013-11-29 | 2018-05-29 | Fedex Corporate Services, Inc. | Methods and apparatus for assessing a current location of a node-enabled logistics receptacle |
US9974042B2 (en) | 2013-11-29 | 2018-05-15 | Fedex Corporate Services, Inc. | Node-enabled monitoring of a piece of equipment using a hierarchical node network |
US9984350B2 (en) | 2013-11-29 | 2018-05-29 | Fedex Corporate Services, Inc. | Determining node location using chaining triangulation in a wireless node network |
US10839339B2 (en) | 2013-11-29 | 2020-11-17 | Fedex Corporate Services, Inc. | Node-enabled sharing of shipment condition information in a wireless node network |
US20150154538A1 (en) * | 2013-11-29 | 2015-06-04 | Fedex Corporate Services, Inc. | Determining Node Location Based on Context Data in a Wireless Node Network |
US11164142B2 (en) | 2013-11-29 | 2021-11-02 | Fedex Corporate Services, Inc. | Multi-entity management of a node in a wireless node network |
US10762465B2 (en) | 2013-11-29 | 2020-09-01 | Fedex Corporate Services, Inc. | Node-enabled management of delivery of a shipped item using elements of a wireless node network |
US9974041B2 (en) | 2013-11-29 | 2018-05-15 | Fedex Corporate Services, Inc. | Methods and apparatus for adjusting a broadcast setting of a node in a wireless node network |
US10762466B2 (en) | 2013-11-29 | 2020-09-01 | Fedex Corporate Services, Inc. | Node-enabled order pickup using elements of a wireless node network |
US10748111B2 (en) | 2013-11-29 | 2020-08-18 | Fedex Corporate Services, Inc. | Node-enabled generation of a shipping label using elements of a wireless node network |
US9674812B2 (en) | 2013-11-29 | 2017-06-06 | Fedex Corporate Services, Inc. | Proximity node location using a wireless node network |
US10846649B2 (en) | 2013-11-29 | 2020-11-24 | Fedex Corporate Services, Inc. | Node-enabled proactive notification of a shipping customer regarding an alternative shipping solution |
US10074069B2 (en) | 2013-11-29 | 2018-09-11 | Fedex Corporate Services, Inc. | Hierarchical sensor network for a grouped set of packages being shipped using elements of a wireless node network |
US10078811B2 (en) * | 2013-11-29 | 2018-09-18 | Fedex Corporate Services, Inc. | Determining node location based on context data in a wireless node network |
US11720852B2 (en) | 2013-11-29 | 2023-08-08 | Fedex Corporate Services, Inc. | Node association payment transactions using elements of a wireless node network |
US9949228B2 (en) | 2013-11-29 | 2018-04-17 | Fedex Corporation Services, Inc. | Autonomous transport navigation to a shipping location using elements of a wireless node network |
US9930635B2 (en) | 2013-11-29 | 2018-03-27 | Fedex Corporate Services, Inc. | Determining node location using a lower level node association in a wireless node network |
US10102494B2 (en) | 2013-11-29 | 2018-10-16 | Fedex Corporate Services, Inc. | Detecting a plurality of package types within a node-enabled logistics receptacle |
US11734644B2 (en) | 2013-11-29 | 2023-08-22 | Fedex Corporate Services, Inc. | Node-enabled shipping without a shipping label using elements of a wireless node network |
US9769786B2 (en) | 2013-11-29 | 2017-09-19 | Fedex Corporate Services, Inc. | Methods and apparatus for enhanced power notification in a wireless node network |
US9769785B2 (en) | 2013-11-29 | 2017-09-19 | Fedex Corporate Services, Inc. | Methods and networks for dynamically changing an operational mode of node operations in a wireless node network |
US10157363B2 (en) | 2013-11-29 | 2018-12-18 | Fedex Corporate Services, Inc. | Proximity based adaptive adjustment of node power level in a wireless node network |
US10740717B2 (en) | 2013-11-29 | 2020-08-11 | Fedex Corporate Services, Inc. | Methods and apparatus for deploying a plurality of pickup entities for a node-enabled logistics receptacle |
US10521759B2 (en) | 2013-11-29 | 2019-12-31 | Fedex Corporate Services, Inc. | Methods and apparatus for monitoring a conveyance coupling connection using elements of a wireless node network |
US9984348B2 (en) | 2013-11-29 | 2018-05-29 | Fedex Corporate Services, Inc. | Context management of a wireless node network |
US11847607B2 (en) | 2013-11-29 | 2023-12-19 | Fedex Corporate Services, Inc. | Multi-entity management of a node in a wireless node network |
US10579954B2 (en) | 2013-11-29 | 2020-03-03 | Fedex Corporate Services, Inc. | Node-enabled preparation related to medical treatment for a patient using a hierarchical node network |
US9854556B2 (en) | 2013-11-29 | 2017-12-26 | Fedex Corporate Services, Inc. | Determining node location using a master node association in a wireless node network |
US10229382B2 (en) | 2013-11-29 | 2019-03-12 | Fedex Corporate Services, Inc. | Methods and apparatus for proactively reporting a content status of a node-enabled logistics receptacle |
US9788297B2 (en) | 2013-11-29 | 2017-10-10 | Fedex Corporate Services, Inc. | Node-enabled delivery notification using elements of a wireless node network |
US10977607B2 (en) | 2013-11-29 | 2021-04-13 | Fedex Corporate Services, Inc. | Node-enabled packaging materials used to ship an item |
US9723586B2 (en) | 2013-12-02 | 2017-08-01 | At&T Intellectual Property I, L.P. | Method and apparatus for performing a passive indoor localization of a mobile endpoint device |
US9173067B2 (en) * | 2013-12-02 | 2015-10-27 | At&T Intellectual Property I, L.P. | Method and apparatus for performing a passive indoor localization of a mobile endpoint device |
US10104634B2 (en) | 2013-12-02 | 2018-10-16 | At&T Intellectual Property I, L.P. | Method and apparatus for performing a passive indoor localization of a mobile endpoint device |
US20150156611A1 (en) * | 2013-12-02 | 2015-06-04 | At&T Intellectual Property I, L.P. | Method and apparatus for performing a passive indoor localization of a mobile endpoint device |
CN106171012A (en) * | 2013-12-20 | 2016-11-30 | 英特尔公司 | Wi Fi scan schedule and power for low-power indoor positioning adapt to |
WO2015094360A1 (en) * | 2013-12-20 | 2015-06-25 | Intel Corporation | Wi-fi scan scheduling and power adaptation for low-power indoor location |
US9877158B2 (en) | 2013-12-20 | 2018-01-23 | Intel Corporation | Wi-Fi scan scheduling and power adaptation for low-power indoor location |
US9784816B2 (en) * | 2014-02-25 | 2017-10-10 | Ubiqomm Llc | Systems and methods of location and tracking |
US10132917B2 (en) | 2014-02-25 | 2018-11-20 | Bridgewest Finance Llc | Systems and methods of location and tracking |
US20150241551A1 (en) * | 2014-02-25 | 2015-08-27 | Ubiqomm, LLC | Systems and Methods of Location and Tracking |
US20150319572A1 (en) * | 2014-02-25 | 2015-11-05 | Ubiqomm, LLC | Systems and Methods of Location and Tracking |
US9998859B2 (en) * | 2014-02-25 | 2018-06-12 | Bridgewest Finance Llc | Systems and methods of location and tracking |
WO2015130731A1 (en) * | 2014-02-25 | 2015-09-03 | Ubiqomm Llc | Systems and methods of location and tracking |
US20150334677A1 (en) * | 2014-05-16 | 2015-11-19 | Qualcomm Incorporated, Inc. | Leveraging wireless communication traffic opportunistically |
US10453023B2 (en) | 2014-05-28 | 2019-10-22 | Fedex Corporate Services, Inc. | Methods and node apparatus for adaptive node communication within a wireless node network |
US9904902B2 (en) | 2014-05-28 | 2018-02-27 | Fedex Corporate Services, Inc. | Methods and apparatus for pseudo master node mode operations within a hierarchical wireless network |
WO2015195579A1 (en) * | 2014-06-20 | 2015-12-23 | Opentv, Inc. | Device localization based on a learning model |
US9681270B2 (en) | 2014-06-20 | 2017-06-13 | Opentv, Inc. | Device localization based on a learning model |
US20160003932A1 (en) * | 2014-07-03 | 2016-01-07 | Lexmark International, Inc. | Method and System for Estimating Error in Predicted Distance Using RSSI Signature |
US9952308B2 (en) * | 2014-07-22 | 2018-04-24 | Huawei Technologies Co., Ltd. | Access point, terminal, and wireless fidelity WiFi indoor positioning method |
US20170131382A1 (en) * | 2014-07-22 | 2017-05-11 | Huawei Technologies Co., Ltd. | Access Point, Terminal, and Wireless Fidelity Wifi Indoor Positioning Method |
US9628521B2 (en) | 2014-08-07 | 2017-04-18 | Telecommunication Systems, Inc. | Hybrid location |
US10330772B2 (en) * | 2014-11-14 | 2019-06-25 | Hewlett Packard Enterprise Development Lp | Determining a location of a device |
US20160198429A1 (en) * | 2015-01-06 | 2016-07-07 | Intel Corporation | Apparatus, system and method of one-sided round-trip-time (rtt) measurement |
US9756598B2 (en) * | 2015-01-06 | 2017-09-05 | Intel IP Corporation | Apparatus, system and method of one-sided round-trip-time (RTT) measurement |
TWI610586B (en) * | 2015-01-06 | 2018-01-01 | 英特爾智財公司 | Apparatus, system and method of one-sided round-trip-time (rtt) measurement |
US9843947B2 (en) * | 2015-01-14 | 2017-12-12 | Kcf Technologies, Inc. | Visual signal strength indication for a wireless device |
US20160205568A1 (en) * | 2015-01-14 | 2016-07-14 | Kcf Technologies, Inc. | Visual signal strength indication for wireless devices |
US10264396B2 (en) * | 2015-01-15 | 2019-04-16 | Mediatek Inc. | Method of distance measurement between wireless communication devices in wireless communication system |
US20160209495A1 (en) * | 2015-01-15 | 2016-07-21 | Mediatek Inc. | Method of Distance Measurement between Wireless Communication Devices in Wireless Communication System |
US10726383B2 (en) | 2015-02-09 | 2020-07-28 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for generating a corrective pickup notification for a shipped item based upon an intended pickup master node |
US10860973B2 (en) | 2015-02-09 | 2020-12-08 | Fedex Corporate Services, Inc. | Enhanced delivery management methods, apparatus, and systems for a shipped item using a mobile node-enabled logistics receptacle |
US10671962B2 (en) | 2015-02-09 | 2020-06-02 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for transmitting a corrective pickup notification for a shipped item accompanying an ID node based upon intended pickup master node movement |
US11238397B2 (en) | 2015-02-09 | 2022-02-01 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for generating a corrective pickup notification for a shipped item using a mobile master node |
US10572851B2 (en) | 2015-02-09 | 2020-02-25 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for generating a pickup notification related to an inventory item |
US10726382B2 (en) | 2015-02-09 | 2020-07-28 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for transmitting a corrective pickup notification for a shipped item to a courier master node |
US10592845B2 (en) | 2015-02-09 | 2020-03-17 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for transmitting a corrective pickup notification for a shipped item accompanying an ID node moving with a courier away from a master node |
US9351111B1 (en) | 2015-03-06 | 2016-05-24 | At&T Mobility Ii Llc | Access to mobile location related information |
US10206056B2 (en) | 2015-03-06 | 2019-02-12 | At&T Mobility Ii Llc | Access to mobile location related information |
US10690762B2 (en) | 2015-05-29 | 2020-06-23 | Qualcomm Incorporated | Systems and methods for determining an upper bound on the distance between devices |
US9955522B2 (en) * | 2015-07-07 | 2018-04-24 | Hand Held Products, Inc. | WiFi enable based on cell signals |
US20170013667A1 (en) * | 2015-07-07 | 2017-01-12 | Hand Held Products, Inc. | Wifi enable based on cell signals |
US10313199B2 (en) | 2015-07-08 | 2019-06-04 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods of enhanced management of a wireless node network based upon an event candidate related to elements of the wireless node network |
US10057133B2 (en) | 2015-07-08 | 2018-08-21 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods of enhanced monitoring for an event candidate associated with cycling power of an ID node within a wireless node network |
US10033594B2 (en) | 2015-07-08 | 2018-07-24 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods of checkpoint summary based monitoring for an event candidate related to an ID node within a wireless node network |
US9985839B2 (en) | 2015-07-08 | 2018-05-29 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods of event monitoring for an event candidate within a wireless node network based upon sighting events, sporadic events, and benchmark checkpoint events |
US9973391B2 (en) | 2015-07-08 | 2018-05-15 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods of enhanced checkpoint summary based monitoring for an event candidate related to an ID node within a wireless node network |
US10305744B2 (en) | 2015-07-08 | 2019-05-28 | Fedex Corporate Services, Inc. | System, apparatus, and methods of event monitoring for an event candidate related to an ID node within a wireless node network |
US10491479B2 (en) | 2015-07-08 | 2019-11-26 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods of time gap related monitoring for an event candidate related to an ID node within a wireless node network |
US10558784B2 (en) * | 2015-09-04 | 2020-02-11 | Cisco Technology, Inc. | Time and motion data fusion for determining and remedying issues based on physical presence |
US20170068793A1 (en) * | 2015-09-04 | 2017-03-09 | Cisco Technology, Inc. | Time and motion data fusion for determining and remedying issues based on physical presence |
JP2019503472A (en) * | 2015-11-23 | 2019-02-07 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | System for validating distance measurements |
US10271166B2 (en) | 2016-03-23 | 2019-04-23 | Fedex Corporate Services, Inc. | Methods, non-transitory computer readable media, and systems for improved communication management of a plurality of wireless nodes in a wireless node network |
US9648580B1 (en) | 2016-03-23 | 2017-05-09 | Corning Optical Communications Wireless Ltd | Identifying remote units in a wireless distribution system (WDS) based on assigned unique temporal delay patterns |
US11843991B2 (en) | 2016-03-23 | 2023-12-12 | Fedex Corporate Services, Inc. | Methods and systems for motion-based management of an enhanced logistics container |
US10057722B2 (en) | 2016-03-23 | 2018-08-21 | Fedex Corporate Services, Inc. | Methods and systems for active shipment management using a container node within a wireless network enabled vehicle |
US11843990B2 (en) | 2016-03-23 | 2023-12-12 | Fedex Corporate Services, Inc. | Methods and systems for motion-based management of an enhanced logistics container |
US10271165B2 (en) | 2016-03-23 | 2019-04-23 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for improved node monitoring in a wireless node network |
US10187748B2 (en) | 2016-03-23 | 2019-01-22 | Fedex Corporate Services, Inc. | Methods and systems for motion-enhanced package placement tracking using a container node associated with a logistic container |
US10952018B2 (en) | 2016-03-23 | 2021-03-16 | Fedex Corporate Services, Inc. | Systems, apparatus, and methods for self- adjusting a broadcast setting of a node in a wireless node network |
US11096009B2 (en) | 2016-03-23 | 2021-08-17 | Fedex Corporate Services, Inc. | Methods and systems for motion-based management of an enhanced logistics container |
US10484820B2 (en) | 2016-03-23 | 2019-11-19 | Fedex Corporate Services, Inc. | Methods and systems for container node-based enhanced management of a multi-level wireless node network |
US9992623B2 (en) | 2016-03-23 | 2018-06-05 | Fedex Corporate Services, Inc. | Methods, apparatus, and systems for enhanced multi-radio container node elements used in a wireless node network |
CN109154642A (en) * | 2016-04-15 | 2019-01-04 | 株式会社电装 | For establishing the system and method positioned in real time |
US9794753B1 (en) | 2016-04-15 | 2017-10-17 | Infinitekey, Inc. | System and method for establishing real-time location |
US11089433B2 (en) | 2016-04-15 | 2021-08-10 | Denso Corporation | System and method for establishing real-time location |
WO2017181050A1 (en) * | 2016-04-15 | 2017-10-19 | Infinitekey, Inc. | System and method for establishing real-time location |
US10616710B2 (en) | 2016-04-15 | 2020-04-07 | Denso Corporation | System and method for establishing real-time location |
US10771288B2 (en) | 2016-06-08 | 2020-09-08 | Nxp B.V. | Processing module for a communication device and method therefor |
US10715355B2 (en) | 2016-06-08 | 2020-07-14 | Nxp B.V. | Processing module for a communication device and method therefor |
US10440574B2 (en) * | 2016-06-12 | 2019-10-08 | Apple Inc. | Unlocking a device |
US11372959B2 (en) | 2016-06-12 | 2022-06-28 | Apple Inc. | Unlocking a device |
WO2018063573A1 (en) * | 2016-09-28 | 2018-04-05 | Intel Corporation | Communication network management system and method |
US10327200B2 (en) | 2016-09-28 | 2019-06-18 | Intel Corporation | Communication network management system and method |
US10880755B2 (en) * | 2016-10-21 | 2020-12-29 | Telecom Italia S.P.A. | Method and system for radio communication network planning |
US10298337B2 (en) | 2016-11-11 | 2019-05-21 | Nxp B.V. | Processing module and associated method |
US11451458B2 (en) * | 2016-12-13 | 2022-09-20 | Nec Corporation | Method and software defined network controller for performing round-trip time determination between a source element and a target element |
US10356550B2 (en) | 2016-12-14 | 2019-07-16 | Denso Corporation | Method and system for establishing microlocation zones |
US11889380B2 (en) | 2016-12-14 | 2024-01-30 | Denso Corporation | Method and system for establishing microlocation zones |
US11153708B2 (en) | 2016-12-14 | 2021-10-19 | Denso Corporation | Method and system for establishing microlocation zones |
US11265674B2 (en) | 2016-12-14 | 2022-03-01 | Denso Corporation | Method and system for establishing microlocation zones |
US10291436B2 (en) | 2017-03-02 | 2019-05-14 | Nxp B.V. | Processing module and associated method |
US10805092B2 (en) | 2017-03-02 | 2020-10-13 | Nxp B.V. | Processing module and associated method |
US10404490B2 (en) | 2017-03-02 | 2019-09-03 | Nxp B.V. | Processing module and associated method |
US10785650B2 (en) | 2017-03-02 | 2020-09-22 | Nxp B.V. | Processing module and associated method |
US10383085B2 (en) | 2017-04-03 | 2019-08-13 | Nxp B.V. | Range determining module and associated methods and apparatus |
US11243500B2 (en) | 2017-11-08 | 2022-02-08 | Seiko Epson Corporation | Electronic timepiece, time correction system, and method of correcting display time |
US11402491B2 (en) | 2017-11-22 | 2022-08-02 | Nida Tech Sweden Ab | Method for determining a distance between two nodes |
US20190297592A1 (en) * | 2018-03-21 | 2019-09-26 | Combain Mobile AB | Method and system for locating a position of a movable device |
US10609670B2 (en) * | 2018-03-21 | 2020-03-31 | Combain Mobile AB | Method and system for locating a position of a movable device |
US10516972B1 (en) | 2018-06-01 | 2019-12-24 | At&T Intellectual Property I, L.P. | Employing an alternate identifier for subscription access to mobile location information |
US10873833B2 (en) * | 2018-07-30 | 2020-12-22 | Motorola Mobility Llc | Location correlation in a region based on signal strength indications |
US10869166B2 (en) | 2018-07-30 | 2020-12-15 | Motorola Mobility Llc | Location correlation in a region based on signal strength indications |
US20200100204A1 (en) * | 2018-09-21 | 2020-03-26 | Honeywell International Inc. | Location tracker |
US20200100055A1 (en) * | 2018-09-21 | 2020-03-26 | Honeywell International Inc. | Object tracker |
US10559149B1 (en) * | 2018-10-08 | 2020-02-11 | Nxp B.V. | Dynamic anchor pre-selection for ranging applications |
US20200252751A1 (en) * | 2019-02-04 | 2020-08-06 | Here Global B.V. | Determining motion information associated with a mobile device |
US11160047B2 (en) * | 2019-02-04 | 2021-10-26 | Here Global B.V. | Determining motion information associated with a mobile device |
US20220109955A1 (en) * | 2019-02-06 | 2022-04-07 | Nippon Telegraph And Telephone Corporation | Position estimation method, position estimation system, position estimation server, and position estimation program |
US20220244401A1 (en) * | 2019-07-10 | 2022-08-04 | Sony Group Corporation | Mobile body control device, mobile body control method, and program |
US11656081B2 (en) * | 2019-10-18 | 2023-05-23 | Anello Photonics, Inc. | Integrated photonics optical gyroscopes optimized for autonomous terrestrial and aerial vehicles |
US11233588B2 (en) * | 2019-12-03 | 2022-01-25 | Toyota Motor Engineering & Manufacturing North America, Inc. | Devices, systems and methods for determining a proximity of a peripheral BLE device |
US11503563B2 (en) | 2020-02-04 | 2022-11-15 | Alibaba Group Holding Limited | Distance estimation using signals of different frequencies |
US11343191B2 (en) | 2020-03-09 | 2022-05-24 | Kabushiki Kaisha Toshiba | In-facility wireless communication system and method for determining locations based on tag orientation |
US20210400439A1 (en) * | 2020-06-19 | 2021-12-23 | Legic Identsystems Ag | Electronic Device |
US11902856B2 (en) * | 2020-06-19 | 2024-02-13 | Legic Identsystems Ag | Electronic device |
CN112462325A (en) * | 2020-11-11 | 2021-03-09 | 清华大学 | Spatial positioning method and device and storage medium |
CN113365217A (en) * | 2021-04-20 | 2021-09-07 | 中国科学院空天信息创新研究院 | Monitoring and positioning system and method based on WIFI-RTT (wireless fidelity-round-trip time) ranging |
WO2023243963A1 (en) * | 2022-06-16 | 2023-12-21 | Samsung Electronics Co., Ltd. | Method and apparatus for device-based indoor positioning using wi-fi fine timing measurements |
WO2024049059A1 (en) * | 2022-09-01 | 2024-03-07 | 삼성전자 주식회사 | Electronic device and location measurement method using same |
CN116095828A (en) * | 2023-02-17 | 2023-05-09 | 山东七次方智能科技有限公司 | Indoor wireless positioning system and method based on power detection |
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WO2010059934A3 (en) | 2010-08-12 |
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EP2746802B1 (en) | 2018-07-25 |
KR20110089431A (en) | 2011-08-08 |
JP2013167630A (en) | 2013-08-29 |
EP2600165A1 (en) | 2013-06-05 |
EP2527861A2 (en) | 2012-11-28 |
KR101312896B1 (en) | 2013-09-30 |
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CN102265174A (en) | 2011-11-30 |
EP2600165B1 (en) | 2014-07-30 |
JP2012509483A (en) | 2012-04-19 |
EP2746802A1 (en) | 2014-06-25 |
CN102265174B (en) | 2016-03-16 |
US20130223261A1 (en) | 2013-08-29 |
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KR20120127526A (en) | 2012-11-21 |
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