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Title:
RADAR SIGNAL PROCESSING METHOD FOR IDENTITY RECOGNITION
Document Type and Number:
WIPO Patent Application WO/2021/203364
Kind Code:
A1
Abstract:
A radar signal processing method for identity recognition. The method comprises: first reading a radar echo signal which is received by a radar sensor and is reflected by a recognition target, performing frequency mixing on the reflected signal and a signal emitted by a radar, performing fast Fourier transform on the signal subjected to frequency mixing, and filtering out a wave band having abnormal energy; obtaining signals of different frequency bands by means of N band-pass filters; then normalizing amplitudes of the signals of different frequency bands; and finally, performing weighted averaging on the normalized signal according to a preset weight. According to the method, low-frequency noise in the signals can be reduced without increasing redundant data, the signals of different frequency bands are reserved, the identity recognition accuracy is greatly improved, and the convergence speed of a classification model is increased.

Inventors:
WANG YONG (CN)
CAO JIAHE (CN)
CHEN JUNYI (CN)
Application Number:
PCT/CN2020/083985
Publication Date:
October 14, 2021
Filing Date:
April 09, 2020
Export Citation:
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Assignee:
UNIV ZHEJIANG (CN)
International Classes:
G01S13/06; G01S7/35; G01S7/41
Foreign References:
CN107024685A2017-08-08
CN107430189A2017-12-01
CN108344995A2018-07-31
CN109188414A2019-01-11
CN110443138A2019-11-12
US20160259037A12016-09-08
CN110456320A2019-11-15
CN108469611A2018-08-31
Other References:
WANG, YONG, WANG SHA-SHA, TIAN ZENG-SHAN, ZHOU MU, WU JIN-JUN: "Two-Stream Fusion Neural Network Approach for Hand Gesture Recognition Based on FMCW Radar", ACTA ELECTRONICA SINICA, vol. 47, no. 7, 31 July 2019 (2019-07-31), pages 1408 - 1415, XP055798922
LIU ZHAO, CUI HENGRONG, WU JIANGLIN, XIE JICHENG, LIU TAO: "Gesture recognition algorithm based on continuous wave doppler radar", INFORMATION AND NETWORK SECURITY, vol. 38, no. 3, 31 December 2019 (2019-12-31), pages 30 - 34, XP055855687, ISSN: 2096-5133, DOI: 10.19358/j.issn.2096-5133.2019.03.008
Attorney, Agent or Firm:
HANGZHOU QIUSHI PATENT OFFICE CO., LTD. (CN)
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