Wiring Effects Mitigation for Through-Wall Human Motion Micro-Doppler Signatures Using a Generative Adversarial Network

doi:10.1109/JSEN.2021.3058747

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室

	Wiring Effects Mitigation for Through-Wall Human Motion Micro-Doppler Signatures Using a Generative Adversarial Network
	Gao, Zhang 2,3; Zhu, Mingzhu 1; Yu, Junzhi 1,3
刊名	IEEE SENSORS JOURNAL
	2021-04-15
卷号	21 期号:8 页码:10051-10060
关键词	Spectrogram Wiring Feature extraction Wires Time-frequency analysis Interference Radar Through-wall human motion detection the wiring effect range-max time-frequency representation de-wiring technique conditional Generative Adversarial Network (cGAN)
ISSN号	1530-437X
DOI	10.1109/JSEN.2021.3058747
通讯作者	Yu, Junzhi(junzhi.yu@ia.ac.cn)
英文摘要	Through-wall detection and recognition of human motions via radar is of great benefit to public security and emergency service applications. The micro-Doppler signatures extracted from the targets of interest in motion typically contain distinct inner-individual motion features, which is the key to human identification and motion classification. However, no research so far considered a very common application scenario, where the conductive wires buried in the wall are in a powering on mode, let alone study its potential effect on the collected signatures of motion behind wall. As it should be anticipated, strong interference components would be brought in the obtained micro-Doppler signatures, and the subsequent motion recognition would be severely affected. In this paper, we, for the first time, report the effect of the buried live wire on the micro-Doppler signatures. Specifically, a micro-Doppler signature enhancement method, named range-max time-frequency representation (R-max TFR) is utilized to obtain feature enhanced micro-Doppler signatures of behind wall human motions. And to mitigate the clutter components introduced by the buried live wire, the effect is first modeled as an impulse response with its center located at a fixed frequency instance in the R-max TFR map. Then, a novel technique based on conditional Generative Adversarial Network (cGAN), is proposed to fulfill the goal. Both numerical and experimental results, as well as comparisons with other classical de-clutter methods, demonstrate the effectiveness and superiority of the proposed de-wiring cGAN framework in suppressing the wiring effect in behind wall micro-Doppler signatures.
资助项目	National Key Research and Development Program of China[2020YFB1312800] ; National Natural Science Foundation of China[U1909206]
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000631203700049
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44196]
专题	自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者	Yu, Junzhi
作者单位	1.Peking Univ, Coll Engn, Dept Adv Mfg & Robot, BIC ESAT,State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Gao, Zhang,Zhu, Mingzhu,Yu, Junzhi. Wiring Effects Mitigation for Through-Wall Human Motion Micro-Doppler Signatures Using a Generative Adversarial Network[J]. IEEE SENSORS JOURNAL,2021,21(8):10051-10060.
APA	Gao, Zhang,Zhu, Mingzhu,&Yu, Junzhi.(2021).Wiring Effects Mitigation for Through-Wall Human Motion Micro-Doppler Signatures Using a Generative Adversarial Network.IEEE SENSORS JOURNAL,21(8),10051-10060.
MLA	Gao, Zhang,et al."Wiring Effects Mitigation for Through-Wall Human Motion Micro-Doppler Signatures Using a Generative Adversarial Network".IEEE SENSORS JOURNAL 21.8(2021):10051-10060.