Invention Publication
- Patent Title: RADAR CLUSTERING USING MACHINE LEARNING
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Application No.: US17744566Application Date: 2022-05-13
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Publication No.: US20230366983A1Publication Date: 2023-11-16
- Inventor: Shubham Sanjeev GARG , Amir SALIMI , Jayakrishnan UNNIKRISHNAN , Avdhut JOSHI
- 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: G01S7/41
- IPC: G01S7/41 ; G06N3/08 ; G06N3/04 ; G01S13/66

Abstract:
A processor-implemented method for radar-based tracking of an object includes transmitting radio frequency (RF) signals. In response to the transmitted RF signals, one or more return RF signals are received. Features of the one or more return RF signals are extracted. A graph comprising multiple nodes is generated. Each node of the graph corresponds to the one or more return RF signals and indicates a potential target object detection. An existence of a plurality of edges is determined. Each edge connects a pair of nodes in the graph based on features of the return RF signals. The existence of each edge indicates that the pair of nodes connected correspond to a same target object.
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