Detection of Moving Targets for Wideband Radar Based on Joint-sparse Recovery

Fang Ming; Dai Feng-zhou; Liu Hong-wei; Wang Xiao-mo; Qin Tong

doi:10.11999/JEIT150442

Volume 37 Issue 12

Jan. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(12): 2977-2983

Fang Ming, Dai Feng-zhou, Liu Hong-wei, Wang Xiao-mo, Qin Tong. Detection of Moving Targets for Wideband Radar Based on Joint-sparse Recovery[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2977-2983. doi: 10.11999/JEIT150442

Citation:

Fang Ming, Dai Feng-zhou, Liu Hong-wei, Wang Xiao-mo, Qin Tong. Detection of Moving Targets for Wideband Radar Based on Joint-sparse Recovery[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2977-2983. doi: 10.11999/JEIT150442

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Detection of Moving Targets for Wideband Radar Based on Joint-sparse Recovery

doi: 10.11999/JEIT150442

1.
(National Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo
2.

Funds:

The National Natural Science Foundation of China (61271291, 61201285)

Received Date: 2015-04-20
Rev Recd Date: 2015-07-13
Publish Date: 2015-12-19

Abstract

Abstract

Range migration is the basic and troublesome problem in moving target detection for wideband radar. To solve this problem, a detection algorithm of moving targets based on joint-sparse recovery is proposed for wideband radar. Firstly, a prewhitening processing is performed to filter the clutter. Then, a jointly row sparse representation of the wideband signals is derived in frequency/slow-time domain，thus the detection problem is solved via joint-sparse recovery. Finally, by using the inverse Fourier transform, the estimation of the targets scenario is achieved. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm.
- Wideband radar,
- Target detection,
- Range migration,
- Clutter suppression,
- Joint-sparse recovery

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References(29)

References

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