Qualcomm Incorporated

Yinghua Yang

Gengsheng Zhang

Ning Luo

Bo Zheng

Min Wang

Han Zhang

Yuxiang Peng

Jingchao Bao

Arnold Jason Gum

Mangesh M Chansarkar

David Tuck

Chandrasekhar Jayaram

Subrahmanyam Anand Mantravadi Venkata

In an aspect, a user equipment (UE) receives a spoofing alert message from either a server or an internet-of-things (IOT) device that indicates whether a spoofed Global Navigation Satellite System (GNSS) condition is present. Based on determining that the spoofing alert message indicates that a spoofed GNSS condition is present, the UE determines, based on the spoofing alert message, a location of a spoofer broadcasting a spoofed GNSS signal, determines, based on the location of the spoofer and a current location of the UE, that the UE is within a receiving area of the spoofed GNSS signal, and determines a position of the UE without using the spoofed GNSS signal.

Detecting spoofed global navigation satellite system (GNSS) signals

Techniques are provided which may be implemented using various methods and/or apparatuses in a vehicle to determine location relative to a roadside unit (RSU) or other nearby point of reference. Vehicles within a pre-designated range or within broadcast distance or otherwise geographically proximate to a roadside unit, through the use of broadcast or other messages sent by the vehicles and/or the RSU may share carrier GNSS phase measurement data, wherein the shared GNSS carrier phase measurement data may be utilized to control and coordinate vehicle movements, velocity and/or position by the RSU and/or to determine location of each vehicle relative to the RSU and/or to other vehicles or determine the absolute location of each vehicle. An RSU may coordinate vehicle access to an intersection, manage vehicle speeds and coordinate or control vehicle actions such as slowing, stopping, and changing lanes or sending a vehicle to a particular location.

Method and apparatus to determine relative location using GNSS carrier phase

Aspects presented herein may improve the performance and accuracy of RF-based positioning. Aspects presented herein may enable a device to use RF Doppler measurements to detect and mitigate multipath effects in RF-based positioning. The RF-based positioning may include satellite navigation, terrestrial positioning system, and/or indoor positioning. In one aspect, a UE receives, via a receiver, signals from one or more entities. The UE determines whether each received signal is a multipath signal based on a Doppler shift measurement. The UE de-weights or excludes one or more signals of the received signals in estimating a position of the UE based on whether the respective received signal is determined to be a multipath signal.

Using doppler for multipath detection and mitigation in RF-based positioning

A multipath condition detection method includes: determining a first signal quality value corresponding to a first wireless signal, of a first frequency and from a signal source, received by a receiver of a mobile device; determining a second signal quality value corresponding to a second wireless signal, of a second frequency that is different from the first frequency, received by the receiver; and determining whether at least one difference value, corresponding to the first signal quality value and the second signal quality value, is indicative of the mobile device being in a multipath condition with respect to the signal source.

Radio frequency multipath detection

A method includes: receiving one or more positioning signals; determining that a UE is line-of-sight to fewer than a threshold number of positioning signal sources; determining a first position estimate hypothesis for the UE using a first position estimating process and one or more first measurements of the positioning signal(s); determining a second position estimate hypothesis for the UE using a second position estimating process and one or more second measurements of the positioning signal(s), wherein the second position estimating process uses a second parameter value of a parameter and the parameter is absent from the first position estimating process or has a first parameter value that is different from the second parameter value; and reporting a reported position estimate based on the first position estimate hypothesis or the second position estimate hypothesis in response to the UE being line-of-sight to fewer than the threshold number of positioning signal sources.

Satellite signal environment determination and/or position estimate selection

A method of determining a location of a measurement device includes determining, at a server: measurement times of first positioning signal measurements, of first positioning signals from first positioning signal sources and/or a subset of positioning signal sources of second positioning signal sources. The method includes sending at least one measurement command from the server to the measurement device to cause the measurement device to obtain the first positioning signal measurements in accordance with the measurement times and/or obtain second positioning signal measurements of second positioning signals sent from the subset of positioning signal sources. The method includes: receiving, at the server from the measurement device, measurement data corresponding to the first positioning signal measurements and/or the second positioning signal measurements; and determining, at the server, the location of the measurement device based on the measurement data.

Increased positioning resolution

Techniques for providing positioning information to a mobile device are discussed. An example apparatus for determining a location of a mobile device includes at least one server comprising a data structure containing precise positioning subscription options associated with the mobile device, a plurality of client internet of things devices configured to communicate with the at least one server, such that at least one of the plurality of client internet of things devices is a serving internet of things device configured to provide precise positioning information to the mobile device, and such that the serving internet of things device is selected from the plurality of client internet of things devices based on the precise positioning subscription options.

Precise positioning services with an Internet of Things network

An Real-Time Kinematic (RTK) and/or Differential GNSS (DGNSS) system is disclosed in which correction data from a plurality of reference stations is provided to the mobile device. A selection of reference stations (from which correction data is provided to the mobile device) can be made based on factors such as the approximate location of the mobile device, geometry of the reference stations, and/or other factors. The mobile device can combine the correction data from the plurality of reference stations in different ways to determine an accurate position fix for the mobile device, without interpolating correction data from the plurality of reference stations.

Real-time kinematic (RTK) and differential global navigation satellite system (DGNSS) corrections using multiple reference stations

A Real-Time Kinematic (RTK) solution is provided to mobile devices having multi-constellation, multi-frequency (MCMF) functionality, in which a single base station may have a baseline much farther than traditional base station. To enable this, embodiments account for differences in atmospheric effects between the rover station and base station when determining a GNSS position fix for a mobile device (rover station), allowing for a separate tropospheric delay error for a base station to be determined. Embodiments may use additional satellite measurements for which no RTK correction is available, and may further use orbital clock correction for these additional satellite measurements.

Ultra-long baseline RTK

Techniques for enhanced Global Navigation Satellite Systems (GNSS) position determination can include capturing an image, from a camera, of obstructions near a mobile device. Orientation information regarding the camera can is used to determine where, in the image, the horizon is situated, and which portions of the sky are blocked by the obstructions from the perspective of the mobile device. Information regarding the location of satellites in the sky is obtained, based on an estimated position of the mobile device. Obstructed satellites can then be identified by comparing the location of the satellites with the obstructed portions of the sky. In a GNSS position determination, information received from the obstructed satellites can then be disregarded or de-weighted accordingly. In some embodiments, the information regarding the blocked portions of the sky can be sent to a server and/or shared with other nearby mobile devices.

Camera-based GNSS environment detector

Techniques are provided which may be implemented using various methods and/or apparatuses in a vehicle to determine proximate vehicles, for example, vehicles within a pre-designated range or within broadcast distance or otherwise geographically proximate, through the use of broadcast or other messages sent by the other vehicles, and to obtain GNSS carrier phase measurement data from the proximate vehicles wherein the shared carrier GNSS phase measurement data may be utilized to update the location(s) of proximate vehicles.

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San Jose, CA, United States of America

Yinghua Yang