Qualcomm Incorporated

Chandrakant Mehta

Mark Boyns

Jeffrey Tsay

Saumitra Mohan Das

Giridhar Dhati Mandyam

Abhinav Sharma

Stephen William Edge

Guttorm Ringstad Opshaug

Andreas Klaus Wachter

Grant Alexander Marshall

Naga Bhushan

Taesang Yoo

Jay Kumar Sundararajan

Gengsheng Zhang

Lionel Jacques Garin

Hui Chao

Ju-Yong Do

Behrooz Khorashadi

William J Morrison

Sundar Raman

Gautam Nirula

Arie Rahmat

Sooryanarayanan Gopalakrishnan

Robert Lewis

Sunil Patel

Murthy S Vempati

Rupali T Desai

Gridhar Mandyam

Zongjun Qi

Aspects presented herein may enhance the accuracy and/or latency of UE positioning based on crowd-sourcing, where a network entity may compute a position estimate of a UE based on neighbor-cell scan data from the UE and one or more reference UEs. In one aspect, a network entity receives a first set of measurements associated with at least one cell from a UE. The network entity performs a position estimation of the UE based on at least one of the first set of measurements associated with the at least one cell, a second set of measurements for each of a set of reference UEs, or a location of each of the set of reference UEs via an ML model, where the UE and the set of reference UEs include at least one common cell.

Similarity learning for crowd-sourced positioning

Implementations relate to systems and methods for aggregating and presenting data related to geographic locations. Geotag data related to geographic locations and associated features or attributes can be collected to build a regional profile characterizing a set of locations within the region. Geotag data related to the constituent locations, such as user ratings or popularity ranks for restaurants, shops, parks, or other features, sites, or attractions, can be combined to generate a profile of characteristics of locations in the region. The platform can generate recommendations of locations to transmit to the user of a mobile device, based for instance on the location of the device in the region as reported by GPS or other location service and the regional profile. Geotag data can include audio data analyzed using region-specific terms, and user recommendations can be presented via dynamic menus based on regional profiles, user preferences or other criteria.

Method and apparatus for aggregating and presenting data associated with geographic locations

Implementations relate to systems and methods for generating a user profile based on periodic location fixes. A cellular telephone or other mobile device captures location information via GPS or other capability. A location history can be generated from accumulated location fixes. The location history is then analyzed to detect the user's travel and dwell patterns. That information can be combined with business classification (e.g., SIC, etc.) or Point of Interest (POI) databases to identify a user's likely home, work, or other locations based on dwell-times, time of day, and other parameters. The user's age and gender can potentially be inferred based on types of locations visited, such as school locations. The user profile can be correlated with market segmentation databases to generate a marketing rating, such as a Nielsen or Claritas rating. Advertising, media, or other content can then be tailored to the user's individual location and demographic profiles.

Methods and apparatus for generating user profile based on periodic location fixes

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

Embodiments may automatically place access points (APs) on floor plans by incorporating a number of conventions for identifying types and locations of APs. These conventions may include the name of APs, MAC addresses, lat/lon information, and feature analysis or image recognition techniques for matching visual cues if the AP locations are marked on images. Some embodiment may conduct several other operations to optimize placement of APs. These optimization operations may reduce the number of steps needed to place APs on floor plans, and/or may reduce extraneous and superfluous information from the floor plans that may clutter the annotated floor plan map.

Methods to optimize and streamline AP placement on floor plan

Disclosed are methods, systems and devices for providing location based services in a venue. To estimate its location, in a particular implementation, a mobile device may obtain a measurement of a range to a transponder device positioned at a known location based on measurements of a signal round-trip time (RTT) in a message exchange with the transponder device. Positioning assistance data from a server may enable the mobile device to measure a delay at the transponder device in providing a response to a probe message to thereby more accurately measure the signal RTT.

Methods, systems and devices for providing location based services in a venue

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 or techniques for utilizing a reference signal for indoor positioning, such as for use in or with a mobile communication device, for example. In an implementation, a reference signal may be focused into a directed beam, for example using a phased antenna array, and rotated electronically through a sequence of directional angles in a horizontal plane. A mobile device may determine a most probable directional angle from one or more transmitters transmitting a directional beam, measure one or more parameters for each directional angle and determine a location estimate using, for example triangulation.

Utilizing a reference signal for indoor positioning

Systems, apparatus and methods for merging maps used by a positioning server are presented. Original maps are overlaid, concatenated or inset to create a more detailed map. The original maps are from different sources and/or in different formats. By merging or fusing maps together, a positioning server may create a better structural map, which is in turn used to create improved positioning assistance data.

Processing and managing multiple maps for an LCI

Systems and methods are provided herein for assistance data generation based on raster images, such as raster images of floor plans. A method provided herein for generating positioning assistance data includes obtaining a first raster image including a floor plan of an area; obtaining geographic reference information corresponding to the area, the geographic reference information including a location of the area; extracting structural features of the area from the floor plan of the area via the first raster image; and generating assistance data for the area based on the extracted structural features and the geographic reference information.

Method and apparatus for generating positioning assistance data

Growing community of inventors

Santa Clara, CA, United States of America

Chandrakant Mehta