Fine Recognition of Human Gait with Vortex Electromagnetic Wave Radar

doi:10.12382/bgxb.2021.0294

Abstract

Abstract: Radar-based human target recognition technology has important applications in many fields. The vortex electromagnetic (EM) wave carries orbital angular momentum，and the target motion may cause the linear and angular Doppler effects. Vortex EM wave contains more target information，which can provide more information for identification. But the angular Doppler effect is much smaller than the linear Doppler effect，so it is difficult to separate them.A multi-transmitter and multi-receiver model is used to generate linear frequency modulation vortex electromagnetic wave，and the linear Doppler is suppressed by dual-mode echo interference. Then，the linear and angular Doppler time-frequency images of the dual-mode echo are obtained by using the short-time Fourier transform. The amplitude values of the time-frequency images are input into the dual-channel convolutional neural network model to obtain the classification results.The simulated results show that the fine recognition ability of human gait is improved by separating the linear Doppler and angular Doppler.

Key words: vortexelectromagneticwaveradar, humantarget, gaitrecognition, convolutionalneuralnetwork

CLC Number:

TN957

YUAN Hang， LUO Ying， LI Kaiming， CHEN Yijun， ZHANG Qun. Fine Recognition of Human Gait with Vortex Electromagnetic Wave Radar[J]. Acta Armamentarii, 2022, 43(5): 1167-1174.

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第43卷第5期2022 年5月
兵工学报ACTA ARMAMENTARII
Vol.43No.5May2022

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