Invention Grant
- Patent Title: Position-grid based machine learning for GNSS warm-start position accuracy improvement
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Application No.: US17804809Application Date: 2022-05-31
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Publication No.: US12248082B2Publication Date: 2025-03-11
- Inventor: William Morrison , Songwon Jee
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Procopio, Cory, Hargreaves & Savitch LLP/Qualcomm
- Main IPC: H04W64/00
- IPC: H04W64/00 ; G01S5/02 ; G06F18/20 ; G06F18/243

Abstract:
Aspects presented herein may improve the performance and accuracy of GNSS-based positioning, where a position-grid based ML may be implemented by a UE or a location server to improve the accuracy of identifying a warm-start position of the UE. In one aspect, a UE or a location server determines, for each grid point within a range of an initial position of a UE, a set of PR residuals based on PRs for each SV of a set of SVs. The UE or the location server determines an estimated position of the UE based on the sets of determined PR residuals.
Public/Granted literature
- US20230384412A1 POSITION-GRID BASED MACHINE LEARNING FOR GNSS WARM-START POSITION ACCURACY IMPROVEMENT Public/Granted day:2023-11-30
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