Micro-Doppler feature extraction for interferometric radar based on Viterbi algorithm and intrinsic chirp component decomposition

NSSC OpenIR > 微波遥感部

	Micro-Doppler feature extraction for interferometric radar based on Viterbi algorithm and intrinsic chirp component decomposition
	Kang, Wenwu; Zhang, Yunhua; Dong, Xiao
作者部门	微波遥感部
会议录名称	MIKON 2018 - 22nd International Microwave and Radar Conference
	2018
页码	508-511
语种	英语
ISBN号	9788394942113
摘要	Based on the interferometric radar, micro-Doppler features for vibration targets are extracted in this paper. First, the theory of vibration targets echo signal interferometric processing in interferometric radar is explained. Second, the time-frequency diagram is obtained through short-Time Fourier transform, and the instantaneous frequencies are obtained via Viterbi algorithm. Thus the echo signals received by three antennas are decomposed based on intrinsic chirp component decomposition. Finally, the interferometric phase of different scatterers is obtained, and micro-Doppler features are effectively extracted. Compared with traditional radar, interferometric radar in this paper can reconstruct the 2-D trajectory of vibration targets. The corresponding parameters can be estimated based on the method in this paper. Two simulation results have showed the effectiveness of the proposed method. © 2018 Warsaw University of Technology.
关键词	Micro-doppler Micro-motion Viterbi Algorithm Interferometric Phase Intrinsic Chirp Component Decomposition
会议名称	22nd International Microwave and Radar Conference, MIKON 2018
会议日期	May 14, 2018 - May 17, 2018
会议地点	Poznan, Poland
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.nssc.ac.cn/handle/122/6370
专题	微波遥感部
推荐引用方式 GB/T 7714	Kang, Wenwu,Zhang, Yunhua,Dong, Xiao. Micro-Doppler feature extraction for interferometric radar based on Viterbi algorithm and intrinsic chirp component decomposition[C],2018:508-511.

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