Patent classifications
G01S5/021
USER EQUIPMENT SIGNALING TO SUPPORT BIAS DETECTION
Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) receives one or more positioning reference signals from a first transmission-reception point (TRP) involved in a positioning session with the UE, detects whether or not there is a positioning bias event associated with the first TRP based on one or more parameters related to the one or more positioning reference signals, the positioning bias event affecting an accuracy of a location estimate of the UE, and transmits, in response to the detection that there is a positioning bias event, a report of the positioning bias event to a network node. Upon receiving the report, the network node performs one or more corrective actions to address the positioning bias event.
USER EQUIPMENT SELECTION FOR SIDELINK-ASSISTED POSITION ESTIMATION PROCEDURE
Disclosed are techniques for wireless communication. In an aspect, a communications device determines at least one position estimation performance parameter, determines a zone identifier based at least in part upon the at least one position estimation performance parameter, wherein the zone identifier identifies one of a plurality of zones, and transmits the zone identifier to one or more UEs. A UE receives the zone identifier, determines the at least one position estimation performance parameter, selects one or more candidate UEs for the sidelink-assisted position estimation procedure based at least in part upon the at least one position estimation performance parameter, and performs the sidelink-assisted position estimation procedure of the UE with at least the selected one or more candidate UEs.
SYSTEMS AND METHODS FOR SPATIAL TRACKING
Systems and methods for spatial tracking using a hybrid signal are disclosed. A method for spatial tracking using a hybrid signal may include: receiving, from a peripheral unit and via an antenna array of a central unit, a signal that includes inertial measurement data from an inertial measurement unit (IMU) of the peripheral unit, and a constant tone extension (CTE); determining, based on the CTE, direction data for the peripheral unit; and determining, based on the direction data and the inertial measurement data, spatial tracking data for the peripheral unit.
Positioning network system, apparatus and method using a mobile object
The present disclosure relates to a positioning network system, apparatus, and method using a mobile object, and more particularly, to a positioning network system, apparatus, and method using a mobile object, that are capable of improving positioning accuracy while reducing an amount of calculation for positioning by arranging a plurality of positioning nodes included in a positioning mobile object in a right angle direction, and also efficiently expanding a positionable region by using a plurality of positioning mobile objects or an intermediate mobile object.
Scaled TDOA 3D positioning
Systems and methods are disclosed herein that relate to positioning in a cellular communications system. In some embodiments, a method for determining a three dimensional location of a wireless device in a cellular communications network comprises obtaining a plurality of measurements for a wireless device, where the plurality of measurements are Time Difference of Arrival (TDOA) related measurements. The method further comprises computing a three dimensional position of the wireless device using the plurality of measurements and a vertical surface model, wherein the vertical surface model is a translated and scaled version of an initial vertical surface model. The new vertical surface model provides translation and scaling of the initial vertical surface model to a suitable range before it is used to determine the three dimensional position of the wireless device such that accuracy is improved, e.g., in large rural cells.
Method and apparatus for reducing magnetic tracking error
A method and apparatus for reducing magnetic tracking error in the position and orientation determined in an electromagnetic tracking system is disclosed. In some embodiments, a corrected position and orientation is blended with an uncorrected position and orientation based upon the calculated probability of each. To determine a corrected position and orientation, data from an IMU in the receiver is used to obtain a constraint on the orientation. In other embodiments, the amount of detected error due to electromagnetic distortion is measured. Any error is first assumed to be from “floor distortion,” and a correction is applied. If the error is still deemed too great, a constraint is again obtained from IMU data. Using this constraint, another correction for the distortion is made. The solution from this correction may be blended with a standard solution and the solution from the floor distortion to arrive at a final solution.
Determining geographic location of a mobile device using sensor data
In certain embodiments, a mobile device includes a sensor, one or more processors, and a memory. The memory stores computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including determining a first geographic location based on wireless signals received as part of a wireless-based mobile device positioning system. The operations include accessing a geographic database that includes data representing a number of geographic locations and properties associated with the geographic locations, and a mapping between measureable values of a type and particular geographic locations. The operations include determining, using the geographic database, candidate geographic locations for adjusting the first geographic location. The operations include accessing a particular value of the type determined according to a measurement of the sensor and determining a second geographic location based on the candidate geographic locations and on the particular value and the mapping.
DETERMINING A PASSIVE GEOLOCATION OF A WIRELESS DEVICE BY MERGING CIRCULAR ERROR PROBABILITY ELLIPSES
A method in a measuring station is described. The method includes determining a plurality of Time of Flights (TOFs) corresponding to plurality of beacons and determining an overall circular error probability ellipse (CEP) based at least in part upon a plurality of times of departure and a corresponding plurality of measuring station positions for each TOF. The method further includes determining at least one individual CEP of a plurality of individual CEPs if at least one of a predetermined time has elapsed and the measuring station has travelled a predetermined distance and determining a merged CEP, where the merged CEP includes the plurality of individual CEPs. Further, the merged CEP is determined to be a better CEP if the merged CEP is more consistent with the plurality of individual CEPs than with the overall CEP. The better CEP is usable to determine a location of a wireless device.
Positioning reference signal measurement for joint positioning
The positions of multiple user equipments (UEs) are jointly determined by a location server using positioning measurements from a comment set of positioning reference signals (PRS), which may include downlink (DL) PRS, uplink (UL) PRS, sidelink (SL) PRS, or a combination thereof. The common set of PRS may be selected by the location server, e.g., based on a rough estimate of position of the UEs determined by the location server, a recommendation from the UEs, or a position report from the UEs. Once selected by the location server, an indication of the common set of PRS is sent to the UEs. The common set of PRS, alternatively, may be selected by one or more UEs, e.g., by a controlling UE or consensus, and one or more UEs provide an indication of the common set of PRS to the location server.
Apparatus and method for determining proximity in smart car system
The present disclosure relates to determining proximity in a smart car system, and a method for operating a vehicle system comprises the steps of: receiving at least one signal transmitted by a user apparatus; transmitting measurement data for the at least one signal to a management apparatus; and receiving updated mapping data from the management apparatus for the measurement data and proximity data.