Invention Application
- Patent Title: DATA EFFICIENT LEARNING AND RAPID DOMAIN ADAPTATION FOR WIRELESS POSITIONING AND TRACKING
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Application No.: US17461516Application Date: 2021-08-30
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Publication No.: US20220065981A1Publication Date: 2022-03-03
- Inventor: Jamie Menjay LIN , Nojun KWAK , Fatih Murat PORIKLI
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Main IPC: G01S5/02
- IPC: G01S5/02 ; G06N20/00 ; H04W4/029

Abstract:
Certain aspects of the present disclosure provide techniques for machine learning using basis decomposition, comprising receiving a first runtime record, where the first runtime record includes RF signal data collected in a physical space; processing the first runtime record using a plurality of basis machine learning (ML) models to generate a plurality of inferences; aggregating the plurality of inferences to generate a prediction comprising a plurality of coordinates; and outputting the prediction, where the plurality of coordinates indicate a location of a physical element in a physical space.
Public/Granted literature
- US12189049B2 Data efficient learning and rapid domain adaptation for wireless positioning and tracking Public/Granted day:2025-01-07
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