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| Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution |
| CHEN Xiaolong① GUAN Jian① YU Xiaohan① HE You② |
①(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University,Yantai 264001, China)
②(Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China) |
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Abstract In order to effectively improve radar detection ability of moving target under the conditions of strong clutter and complex motion characteristics, the principle framework of Short-Time sparse Time-Frequency Distribution (ST-TFD) is established combing the advantages of TFD-based moving target detection and sparse representation. Then, Short-Time Sparse Fourier Transform (ST-SFT) and Short-Time Sparse FRactional Fourier transform (ST-SFRFT)-based radar moving target detection methods are proposed and applied to micro-Doppler signature extraction and detection of marine target. It is verified by real radar data that the proposed methods can achieve high-resolution and low complexity TFD of time-varying signal in time-sparse domain, and has the advantages of high efficiency, good time-frequency resolution, anti-clutter, and so on. It can be expected that the proposed methods can provide a novel solution for radar clutter suppression and moving target detection.
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Received: 08 October 2016
Published: 07 March 2017
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| Fund: The National Natural Science Foundation of China (61501487, 61401495, U1633122, 61471382, 61531020), The Natural Science Foundation of Shandong Province (2015ZRA 06052), The Aeronautical Science Foundation of China (20162084005, 20162084006, 20150184003), The Special Funds of Taishan Scholars of Shandong and Young Elite Scientist Program of CAST |
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Corresponding Authors:
CHEN Xiaolong
E-mail: cxlcxl1209@163.com
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