Micro-Doppler feature extraction for interferometric radar based on Viterbi algorithm and intrinsic chirp component decomposition | |
Kang, Wenwu; Zhang, Yunhua; Dong, Xiao | |
Department | 微波遥感部 |
Source Publication | MIKON 2018 - 22nd International Microwave and Radar Conference |
2018 | |
Pages | 508-511 |
Language | 英语 |
ISBN | 9788394942113 |
Abstract | 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. |
Keyword | Micro-doppler Micro-motion Viterbi Algorithm Interferometric Phase Intrinsic Chirp Component Decomposition |
Conference Name | 22nd International Microwave and Radar Conference, MIKON 2018 |
Conference Date | May 14, 2018 - May 17, 2018 |
Conference Place | Poznan, Poland |
Indexed By | EI |
Document Type | 会议论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/6370 |
Collection | 微波遥感部 |
Recommended Citation 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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201808405271.pdf(1185KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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