Title:
CLUSTERING OF RADIO FREQUENCY SIGNALS
Document Type and Number:
WIPO Patent Application WO/2023/220208
Kind Code:
A3
Abstract:
A processor-implemented method for radar-based tracking of an object includes transmitting radio frequency, RF, signals (602). In response to the transmitted RF signals, one or more return RF signals are received (604). Features of the one or more return RF signals are extracted (606). 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 (608). 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 (610).
Inventors:
GARG SHUBHAM SANJEEV (US)
SALIMI AMIR (US)
UNNIKRISHNAN JAYAKRISHNAN (US)
JOSHI AVDHUT (US)
SALIMI AMIR (US)
UNNIKRISHNAN JAYAKRISHNAN (US)
JOSHI AVDHUT (US)
Application Number:
PCT/US2023/021775
Publication Date:
December 21, 2023
Filing Date:
May 10, 2023
Export Citation:
Assignee:
QUALCOMM INC (US)
International Classes:
G01S7/41; G01S13/66; G01S13/89; G06N3/04; G06N3/09; G06V10/82
Foreign References:
| US20180307967A1 | 2018-10-25 |
Other References:
SU NINGYUAN ET AL: "Maritime Target Detection Based on Radar Graph Data and Graph Convolutional Network", IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, IEEE, USA, vol. 19, 6 December 2021 (2021-12-06), pages 1 - 5, XP011896848, ISSN: 1545-598X, [retrieved on 20220106], DOI: 10.1109/LGRS.2021.3133473
Attorney, Agent or Firm:
LENKIN, Alan M. et al. (US)
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