Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution

CHEN Xiaolong; GUAN Jian; YU Xiaohan; HE You

doi:10.11999/JEIT161040

Volume 39 Issue 5

May 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(5): 1017-1023

CHEN Xiaolong, GUAN Jian, YU Xiaohan, HE You. Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1017-1023. doi: 10.11999/JEIT161040

Citation:

CHEN Xiaolong, GUAN Jian, YU Xiaohan, HE You. Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1017-1023. doi: 10.11999/JEIT161040

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Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution

doi: 10.11999/JEIT161040

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)

Funds:

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

Received Date: 2016-10-08
Rev Recd Date: 2017-01-13
Publish Date: 2017-05-19

Abstract

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.
- Moving target detection,
- Marine target,
- Micro-Doppler,
- Time-Frequency Distribution (TFD),
- Sparse representation

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References(16)

References

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