Qualcomm Incorporated

Sirf Technology, Inc.

Csr Technology Inc.

Sirf Technology Holdings, Inc.

Csr Technology Holdings Inc.

Sirf Technologies, Inc.

Gengsheng Zhang

Sai Pradeep Venkatraman

Ju-Yong Do

Weihua Gao

Lionel Jacques Garin

Ning Luo

Sundar Raman

Meghna Agrawal

Bo Zheng

Yinghua Yang

Min Wang

Ashutosh Pande

Rayman Wai Pon

Mark Leo Moeglein

Mangesh M Chansarkar

Amir Abbas Emadzadeh

Nicolas Patrick Vantalon

Leon Kuo-Liang Peng

Ashok Bhatia

Yuxiang Peng

Weiyi Liu

Han Zhang

Steve Chang Chiayee

Paul A Underbrink

Gregory Turetzky

Marlene Wan

Kanwar Chadha

Chiayee Steve Chang

Qingwen Zhang

Randall J Silva

Rajarshi Gupta

Carlos Horacio Aldana

Vinay Sridhara

Dominic Gerard Farmer

Arnold Jason Gum

Jordan C Cookman

Benjamin A Werner

Aditya Narain Srivastava

David Tuck

Kin Fai Wong

Ferit Ozan Akgul

Arie Rahmat

Kannan Muthuraman

Kurt Christian Schmidt

Hemali Vyas

Jim Brown

Guttorm Ringstad Opshaug

Jingchao Bao

Douglas Neal Rowitch

Kirk Allan Burroughs

Xiaoxin Zhang

Jie Wu

Steven A Gronemeyer

Mahesh Chowdhary

Charles P Norman

Daniel Babitch

Zoltan F Biacs

Henry D Falk

Chandrakant Mehta

Makarand Phatak

Gaurav Lamba

Gang Xie

Dimitri Rubin

Qiyue Zhang

David Richard Coleman

Yuhua Hu

Robert Harvey

Steve Chang

Xiangdong Lin

Bernal A Arroyo

Shanta Pavan Namburi

Peter Michali

Daniel Liao

Stephen Joseph Beauregard

Chandrasekhar Jayaram

Murthy S Vempati

Thanh Le Nguyen

Jean-Michel Rousseau

Reza Abtahi

Jeemil N Shah

Williams Higgins

Stefan Witanis

Wendell Edwin Innis

Robert Shaw Harvey

Anil R Admal

Quingwen Zhang

Kelly G Johnson

Arun Agrawal

Subrahmanyam Anand Mantravadi Venkata

Srimaruti Manoj Nimmagadda

Systems and techniques are provided for determining positioning. For example, the systems and techniques can include obtaining an inertial height measurement, wherein the inertial height measurement is obtained based on a determination that one or more positioning signals are unavailable. A height constraint can be generated using the inertial height measurement, wherein the height constraint is generated based at least in part on a transition matrix. One or more positioning measurements can be determined based on using the height constraint as a real-time kinematic (RTK) positioning input.

Kinematic positioning with inertial constraints

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 enable a UE to identify whether images captured by the camera(s) of the UE are spoofed (e.g., are real images or false/manipulated/virtual images, etc.). In one aspect, a UE obtains a set of images associated with a vision-aided positioning session, where the set of images is captured using at least one first camera. The UE detects that at least one spoofing feature is present in the set of images during the vision-aided positioning session. The UE stores or outputs an indication of the at least one spoofing feature based on the at least one spoofing feature being present in the set of images. The UE performs the camera-aided positioning session based on at least one non-spoofing feature, where the at least one non-spoofing feature is different from the at least one spoofing feature.

Anti-spoofing in camera-aided location and perception

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

Described are methods, systems, and devices for correcting ionospheric error. In some aspects, a mobile device equipped with a Global Navigation Satellite System (GNSS) receiver is configured to determine a positioning measurement of a GNSS signal. The mobile device is further configured to receive augmentation data from an augmentation system. When the mobile device is unable to obtain newer augmentation data, the mobile device can instead obtain augmentation data associated with historical Total Electron Content (TEC) values. In such instances, the augmentation data will have been generated to represent ionospheric delay during a time period that ended before the augmentation data is obtained. Based on the augmentation data associated with historical TEC values and a pierce point of the received GNSS signal, an ionospheric error in the positioning measurement of the GNSS signal can be determined and corrected.

Ionosphere grid history and compression for GNSS positioning

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

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 for Ultra Wide-Lane (UWL) Real-Time Kinematic (RTK) positioning a mobile device may include obtaining, using a multi-band GNSS receiver of the mobile device: a first carrier-phase measurement of a first GNSS signal on a first GNSS carrier frequency, and a second carrier-phase measurement of a second GNSS signal on second GNSS carrier frequency. Techniques may further comprise providing a position estimate of the mobile device, wherein: the position estimate is determined from a wide-lane (WL) combination of the first carrier-phase measurement and the second carrier-phase measurement, and the WL combination has a combined carrier phase noise that is less than a pseudo-range noise of the first carrier-phase measurement and a pseudo-range noise of the second carrier-phase measurement.

Ultra wide-lane (UWL) real-time kinematic (RTK)

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

A mobile device may be configured to improve measurement of carrier phase (CP) in received satellite signals for satellite positioning system (SPS) operations. For example, this may enable an SPS receiver to measure CP of at least a first positioning signal and a second positioning signal each received from the same satellite vehicle. A corrected CP of the first positioning signal may be estimated based on the measured CP of the first positioning signal and on the measured CP of the second positioning signal.

Methods and apparatus for improving carrier phase detection in satellite positioning system signals

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

Techniques are provided for applying plate tectonic model information to improve the accuracy of base station assisted satellite navigation systems. An example method for determining a location of a mobile device includes receiving base station measurement, coordinate and epoch information, receiving base station velocity information, receiving signals from a plurality of satellite vehicles, and determining the location of the mobile device based on the signals received from the plurality of satellite vehicles, the base station measurement, coordinate and epoch information, and the station velocity information.

Method and apparatus for location determination using plate tectonics models

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Cupertino, CA, United States of America

Gengsheng Zhang