Qualcomm Incorporated

Sirf Technology, Inc.

Csr Technology Inc.

Magellan Corporation

Sirf Technology Holdings, Inc.

Other

Panasonic Corporation

Matsushita Electric Works, Ltd.

Nemerix Sa

Sirf Technologies, Inc.

Lionel Jacques Garin

Gengsheng Zhang

Ashutosh Pande

Sai Pradeep Venkatraman

Gregory Turetzky

Kanwar Chadha

Sundar Raman

Ju-Yong Do

Jubin Jose

Xinzhou Wu

Urs Niesen

Nicolas Patrick Vantalon

Leon Kuo-Liang Peng

Chiayee Steve Chang

Marlene Wan

Makarand Phatak

Rajarshi Gupta

Venkatesan Nallampatti Ekambaram

Victor Abramovich Veitsel

Kurt Christian Schmidt

Stanislov Sila-Novatisky

Mark Zhodzicshsky

Steve Chang Chiayee

Stephen William Edge

Weihua Gao

Andreas Klaus Wachter

Praveen Dua

Junichi Suzuki

Xiangdong Lin

Ikuo Tsujimoto

Randall J Silva

Ayman Fawzy Naguib

Vinay Sridhara

Xiaoxin Zhang

Mark Leo Moeglein

Javad Ashjaee

Mangesh M Chansarkar

Daniel Babitch

Grant Alexander Marshall

Farbod Kamgar

SaiPradeep Venkatraman

Weiyi Liu

Kurt Schmidt

Steve Chang

Hemali Vyas

Stephane Joseph Beauregard

Pramod Gupta

Jim Brown

Hong Cheng

Saumitra Mohan Das

Carlos Horacio Aldana

Leonid Sheynblat

Douglas Neal Rowitch

Kirk Allan Burroughs

Arnold Jason Gum

Sanjai Kohli

Behrooz Khorashadi

Steven A Gronemeyer

Per Kristian Enge

Carlos Manuel Puig

Charles Alfred Bergan

Faraz Mohammad Mirzaei

Chandrakant Mehta

Amir Abbas Emadzadeh

Mayur Nitinbhai Shah

Qiyue Zhang

Qingwen Zhang

Bruce Everett Wilson

Quanwei Liu

Arie Rahmat

Lars Boeryd

Bernal A Arroyo

Daniel Liao

Reza Abtahi

Ayman Naquib

Stefan Witanis

Mangesh Chambarkar

Geugsheng Zhang

Robert Shaw Harvey

Wendell Edwin Innis

Vijayaraghavan Venkatasubramanian

A method of determining a position of a mobile platform includes obtaining a plurality of pseudorange measurements from multiple time epochs of a satellite navigation system (SPS) and obtaining a plurality of visual-inertial odometry (VIO) velocity measurements from a VIO system. Each time epoch of the SPS includes at least one pseudorange measurement corresponding to a first satellite and at least one pseudorange measurement corresponding to a second satellite. The method also includes combining the plurality of pseudorange measurements with the plurality of VIO velocity measurements to identify one or more outlier pseudorange measurements in the plurality of pseudorange measurements. The one or more outlier pseudorange measurements are then discarded from the plurality of pseudorange measurements to generate a remaining plurality of pseudorange measurements. The position of the mobile platform is then computed based on the remaining plurality of pseudorange measurements and the plurality of VIO velocity measurements.

Outlier detection for satellite positioning system using visual inertial odometry

A method of determining a trajectory of a mobile platform includes obtaining a satellite positioning system (SPS) measurement from one or more SPS signals acquired by an SPS receiver of the mobile platform. The method also includes obtaining a visual-inertial odometry (VIO) measurement of the mobile platform from a VIO system of the mobile platform. A first position estimate of the mobile platform is determined based, at least in part, on the SPS measurement and the VIO measurement. The method then includes adjusting the first position estimate to generate a smoothed position estimate based, in part, on a smoothing parameter that controls a smoothness of the trajectory. The trajectory of the mobile platform is then determined, at least in part, using the smoothed position estimate.

Mobile platform positioning using satellite positioning system and visual-inertial odometry

The disclosure generally relates to position sensors, and more particularly to repair of carrier-phase cycle slips using displacement data. An apparatus for use in position sensing may include a displacement sensor, a positioning signal receiver, a memory, and a processor coupled to the displacement sensor, the positioning signal receiver, and the memory. The processor and memory may be configured to processor and memory are configured to detect a loss of lock of a first carrier tracking loop associated with the first set of carrier-phase measurements, wherein the first carrier tracking loop is associated with a first integer ambiguity, estimate, based on the displacement data, an ambiguity increment to the first integer ambiguity subsequent to the detected loss of lock, and resolve a second integer ambiguity associated with the second set of positioning signals based on the first integer ambiguity and the estimated ambiguity increment.

Repair of carrier-phase cycle slips using displacement data

Disclosed embodiments pertain to a method on a UE may comprise determining a first absolute position of the UE at a first time based on GNSS measurements from a set of satellites. At a second time subsequent to the first time, the UE may determine a first estimate of displacement of the UE relative to the first absolute position using non-GNSS measurements. Further, at the second time, the UE may also determine a second estimate of displacement relative to the first absolute position and/or a second absolute position of the UE based, in part, on: the GNSS carrier phase measurements at the first time from the set of satellites, and GNSS carrier phase measurements at the second time from a subset comprising two or more satellites of the set of satellites, and the first estimate of displacement of the UE.

Visual inertial odometry attitude drift calibration

Determining a position of a device using a signal received from a reference emitter includes: receiving the signal; determining a state of a first filter, the state of the first filter including a first carrier phase ambiguity estimate that includes a floating value; determining a state of a second filter, the state of the second filter including a second carrier phase ambiguity estimate that includes a fixed value; determining whether the state of the second filter is consistent with one other filter state or measurement; maintaining the state of the second filter in response to the device determining that the state of the second filter is consistent with the other filter state; changing the state of the second filter to the state of the first filter in response to the device determining that the state of the second filter is not consistent with the other filter state.

Fast recovery from incorrect carrier phase integer locking

A station (STA) receives a schedule from a reference device in a wireless network. The schedule provides a measurement time for each of one or more wireless channels. The STA tunes to a first channel of the one or more wireless channels in accordance with the schedule. While tuned to the first channel in accordance with the schedule, the STA receives a first message from a first access point (AP). The first message, which includes a time-of-departure timestamp from the reference device, is time-stamped with a time-of-arrival timestamp. The STA receives an indication of a time at which the reference device received the first message from the first AP. The STA determines its position based in part on the time-of-departure timestamp, the time-of-arrival timestamp, and the time at which the reference device received the first message.

Wireless positioning using scheduled transmissions

A method for aligning visual-inertial odometry (VIO) and satellite positioning system (SPS) reference frames includes obtaining a plurality of range-rate measurements of a mobile platform from an SPS. The range-rate measurements are with respect to a global reference frame of the SPS. The method also includes obtaining a plurality of VIO velocity measurements of the mobile platform from a VIO system. The VIO velocity measurements are with respect to a local reference frame of the VIO system. At least one orientation parameter is then determined to align the local reference frame with the global reference frame based on the range-rate measurements and the VIO velocity measurements.

Alignment of visual inertial odometry and satellite positioning system reference frames

Disclosed are systems, methods and devices for application of determining position information for mobile devices. In specific implementations, measurement of a signal travel time and a signal's strength may be combined to characterize a transmission power of the signal's transmitter. The characterized transmission power may be applied to affect expected signal strength signature values for use of the signal's transmitter may be updated in order to enhance a location based service where location may be effected by accuracy of a transmitter's power.

Method, systems and/or device for adjusting expected received signal strength signature values

A method, in a mobile device, of controlling region determination by the mobile device, includes: determining a present pressure at the mobile device; determining, based on the present pressure and a reference pressure, that the mobile device moved from a first region to a second region within a structure, the first region and the second region being different regions of the structure and vertically displaced from each other; and performing region determination in response to determining that the mobile device moved from the first region to the second region.

Region determination control

Various methods, apparatuses and/or articles of manufacture are provided which may be implemented using one or more fixed electronic devices to generate a reference data report corresponding to a particular environment. Various methods, apparatuses and/or articles of manufacture are provided which may be implemented using one or more mobile electronic devices to generate an environment report corresponding to a particular environment.

Techniques for generating environment and reference data reports for particular environments on behalf of mobile devices

Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations and/or techniques for enhanced passive positioning with adaptive round trip time (RTT)-type ranging, such as for use in or with a mobile communication device, for example.

Enhanced passive positioning with adaptive active positioning

Systems, apparatus and methods for determining a cyclic shift diversity (CSD) mode are presented. Examples communicate the CSD mode in a signaling message. Specifically, a CSD mode is set in an access point the sent to a mobile device. The signaling messages may be either a point-to-point message or a broadcast message. The access point or location server may set the current CSD mode from a plurality of mobile devices by crowd sourcing. For example, the plurality of mobile devices may report what CSD mode was detected. Alternative, the plurality of mobile devices may send a channel impulse response (CIR), or the like, to a location server and the location server may determine what CSD mode is currently used by the access point.

Cyclic shift delay detection using signaling

Disclosed are implementations that include a method, performed by a network control device, including sending a first instruction to a first device to send a first measurement signal, and sending a second instruction to a second device to receive the first measurement signal. Following receipt of a first acknowledgement signal from the target mobile device, the first and second devices change their roles so the second device sends, and the first device receives, a second measurement signal, and the first and second devices receive a second acknowledgement signal from the target device. Position of the target device is determined based on timing measurements associated with the first and second measurement signals, the first and second acknowledgement signals, and on known positions of the first and second devices. Another network device is selected to perform additional measurements upon a determination that a desired accuracy of the position determined was not achieved.

Positioning using observer-based time-of-arrival measurements

Methods, systems, computer-readable media, and apparatuses for labeling crowd sourced data are presented. In some embodiments, a method for labeling crowd sourced data may include: receiving an atmospheric pressure signal from a mobile device associated with a venue, the mobile device comprising an atmospheric pressure sensor; clustering a plurality of atmospheric pressure signals from a plurality of mobile devices associated with the venue into a plurality of clusters; assigning a label to each of the plurality of clusters; receiving signal measurements from one or more of the plurality of mobile devices; and applying the label to the signal measurement.

Systems and methods for labeling crowd sourced data

Methods and apparatuses are provided which may be implemented in various devices to generate positioning assistance data and/or the like by mobile station with regard to at least one of a plurality of different indoor regions.

Methods and apparatuses for mobile station centric determination of positioning assistance data

Growing community of inventors

Palo Alto, CA, United States of America

Lionel Jacques Garin