中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Micro-Doppler feature extraction for interferometric radar based on Viterbi algorithm and intrinsic chirp component decomposition

文献类型:会议论文

作者Kang, Wenwu; Zhang, Yunhua; Dong, Xiao
出版日期2018
会议日期May 14, 2018 - May 17, 2018
会议地点Poznan, Poland
关键词Micro-doppler Micro-motion Viterbi Algorithm Interferometric Phase Intrinsic Chirp Component Decomposition
页码508-511
英文摘要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.
会议录MIKON 2018 - 22nd International Microwave and Radar Conference
语种英语
ISBN号9788394942113
源URL[http://ir.nssc.ac.cn/handle/122/6370]  
专题国家空间科学中心_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]. 见:. Poznan, Poland. May 14, 2018 - May 17, 2018.

入库方式: OAI收割

来源:国家空间科学中心

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