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| Micro-motion Estimation for Ballistic Targets with Multi-frequency Chirp Decomposition |
| ZHOU Yejian①② ZHANG Lei①② JIAN Mao①③ WANG Hongxian①② XING Mengdao①② |
①(National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China)
②(Collaborative Innovation Center of Information Sensing and Understanding at Xidian University, Xi’an 710071, China)
③(No.23 Institute of the Second Academy of China Aerospace, Beijing 100854, China) |
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Abstract Accurate micro-motion characteristics analysis is an important technique to extract the geometrical characteristics of ballistic targets. In this paper, a multi-frequency Chirp sparse decomposition method for time- frequency analysis of micro-motion targets is proposed. First, the echo micro-Doppler expression of the equivalent scattering center model with the procession motion is deduced. After the translation compensation process, the multi-frequency echo are segmented and used to estimate the micro-motion characteristics with the Chirp sparse decomposition algorithm. While the sparseness of multi-frequency echo are effectively utilized, and the joint multi-frequency estimation improves the robustness of the algorithm. Finally, target,s micro-motion curve are obtained by stitching the segments’ estimation results. The validity and robustness of the algorithm are verified by electromagnetic simulation data and can be applied to time-frequency analysis and recognition of ballistic target.
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Received: 27 February 2017
Published: 14 August 2017
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| Fund:The National Natural Science Foundation of China (61301280, 61301293) |
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Corresponding Authors:
ZHANG Lei
E-mail: leizhang@xidian.edu.cn
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