Qualcomm Incorporated

Other

Gautam Nirula

William J Morrison

Amit Jain

Amol Kench

Himanshu H Shah

Dinesh Subramani

Hsiao Chien Liang

Arnold Jason Gum

Harisrinivas Chandrasekar

Guttorm Ringstad Opshaug

Grant Alexander Marshall

Chandrakant Mehta

Borislav Ristic

Prabhu Kandasamy

Songwon Jee

In a wireless system, a user device or a server obtains a global navigation satellite system (GNSS) position of the user device, a sensor-based trajectory of the user device, or both. The user device or the server filters map data indicating possible routes of the user device based on one or more criteria associated with the GNSS position, the sensor-based trajectory, or both to obtain filtered map data. The user device or the server determines a position estimate for the user device based on the filtered map data.

Positioning operation based on filtered map data

Techniques are provided for determining a location of a mobile device based on visual positioning solution (VPS). An example method for determining a position estimate of a mobile device includes obtaining sensor information, detecting one or more identifiable features in the sensor information, determining a range to at least one of the one or more identifiable features, obtaining coarse map information, determining a location of the at least one of the one or more identifiable features based on the coarse map information, and determining the position estimate for the mobile device based at least in part on the range to the at least one of the one or more identifiable features.

Position accuracy using sensor data

Aspects presented herein may improve the performance of positioning devices by enabling the positioning devices to utilize transformed map data with limited third party knowledge of the transformation. Aspects presented herein may enable a positioning device to make the map data from another coordinate system usable for positioning algorithms without knowledge of the transformation. In one aspect, a UE transmits a request for map data based on a first set of coordinates in a first coordinate system. The UE receives the map data based on a second set of coordinates in a second coordinate system, where the first set of coordinates in the first coordinate system is distinct from the second set of coordinates in the second coordinate system. The UE calculates a set of relative distances between the second set of coordinates and one or more objects corresponding to the map data.

Usage of transformed map data with limited third party knowledge

Aspects presented herein may enable an electronic device to determine gyroscope biases and calibrate a gyroscope without a magnetometer or without relying on data generated from a magnetometer. In one aspect, an apparatus estimates a set of gyroscopic biases for a plurality of temperatures or temperature ranges to create a mapping that maps the plurality of temperatures or temperature ranges to the set of gyroscopic biases. The apparatus monitors temperatures of a gyroscope via a gyroscope temperature sensor. The apparatus calibrates the gyroscope in response to the gyroscope changing from a first temperature to a second temperature based on the mapping or based on a predicted value derived from the mapping. In some aspects, the apparatus calculates a DR trajectory of the apparatus based at least in part on the calibrated gyroscope and the accelerometer without using a magnetometer or without using data generated from the magnetometer.

Pedestrian sensor accuracy with minimal dependence on magnetometer

Techniques for improved GNSS positioning include leveraging approximate location information and information from sensors of a mobile device, and/or sensors communicatively coupled therewith, to detect obstructions and determine which SVs may be blocked from direct view. In particular, information from one or more cameras, LIDAR, radar, and/or other sensor systems can be used to determine how nearby obstructions may block the view of portions of the sky from the perspective of the mobile device, then compared with a SkyPlot of SVs based on the mobile device's approximate location to determine which SVs are likely blocked from view. A GNSS position determination of the mobile device can then be made by reducing the weight of information received from blocked (obstructed) SVs.

Position accuracy improvement using smart satellite vehicle selection

Disclosed is a method and apparatus for capturing, collecting, and distributing event information displayed on signs. The method may include capturing, by a mobile device, an image of a sign that displays information for an event. The method may also include extracting information for the event from the captured image of the sign, and determining a location of the mobile device when the image of the sign was captured. Furthermore, the method may include uploading, to a server, a time when the image was captured, the information for the event extracted from the captured image, a location of the event determined from extracted event information, a location of the sign, or a combination thereof.

System and method for capture and distribution of information collected from signs

A UE includes: at least one sensor configured to provide at least one sensor measurement; and a processor configured to: determine first and second ranges between the UE and a positioning signal source based on first and second positioning signal measurements of first and second positioning signals from the positioning signal source corresponding to first and second times; determine whether a selected range of the first range or the second range is a multipath range based on the first range, the second range, and movement of the UE between the first time and the second time indicated by the at least one sensor measurement; and discount use of the selected range in a positioning technique in response to the selected range being determined to be a multipath range.

Multi-path positioning signal determination

Disclosed embodiments facilitate accuracy and decrease error in terrestrial positioning systems, including errors induced by multipath (e.g. ground reflections) in doppler based measurements of SVs. In some embodiments, one or more Global Navigation Satellite System (GNSS) doppler measurements and one or more corresponding GNSS pseudorange measurements for one or more satellites may be obtained. One or more GNSS doppler estimates corresponding to the one or more GNSS doppler measurements may be determined, wherein for a GNSS doppler measurement, the corresponding GNSS doppler estimate may be determined based, in part, on the GNSS doppler measurement and a GNSS pseudorange measurement corresponding to the GNSS doppler measurement. A speed of the UE may be determined based, in part, on the one or more GNSS doppler estimates.

Error mitigation in doppler based satellite positioning system measurements

Techniques provided herein are directed toward using information from various sources to determine when the mobile device enters and exits a traffic tunnel, turning off the GNSS receiver of the mobile device when the mobile device enters the tunnel, and turning the GNSS receiver back on once it exits. For example, the mobile device can turn off the GNSS receiver based, at least in part, on a determination that the mobile device has entered the traffic tunnel, and a determined traffic tunnel length and/or estimated amount of time the mobile device will be in the traffic tunnel.

Power management of a global navigation satellite system (GNSS) receiver in a traffic tunnel

A user equipment (UE) is preconfigured with Positioning Reference Signal (PRS) configurations for a plurality of base stations. The UE receives a base station almanac including position information and identifies of local base stations. Using the PRS configurations and information from the base station almanac, the UE receives PRS signals from a first set of base stations. The UE may also receive cell-specific reference signals (CRS) from a second set of base stations. The UE performs location determination for the user equipment using the PRS signals from the first set of base stations, the CRS signals from the second set of base stations.

Location determination using user equipment preconfigured with positioning reference signal information

Example methods, apparatuses, and/or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate and/or support one or more operations and/or techniques for enhancing searches for positioning reference signals (PRS) via one or more runtime conditions, such as for use in or with mobile communication devices, for example.

Enhancing PRS searches via runtime conditions

Disclosed embodiments pertain to combining Reference Signal Time Difference (RSTD) measurements from partial measurement sessions that result when a single measurement session is interrupted by one or more interruption events including Out of Service (OOS) or Inter-Frequency Handover (IFH) events. In some embodiments, first Time Of Arrival (TOA) measurements of cellular signals during a plurality of discontiguous partial measurement sessions separated by one or more interruption events may be obtained. Second TOA measurements based on a reference time source may be obtained for a plurality of the first TOA measurements from at least two partial measurement sessions. A cell associated with a second TOA measurement may be selected as a reference cell and for each non-reference cell associated with a second TOA measurement, a corresponding RSTD measurement may be obtained relative to the selected reference cell.

Robust reference signal time difference measurements

Techniques disclosed herein help a location server identify inaccuracies in a list of neighboring cells provided by the location server by enabling mobile devices to, during an OTDOA session to opportunistically take Reference Signal Time Difference (RSTD) measurements of additional cells not on the neighboring cell list. The mobile device can then provide these RSTD measurements back to the server, which can optimize its algorithm for determining neighboring cells based on these measurements.

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San Diego, CA, United States of America

Gautam Nirula