基于联合稀疏恢复的宽带雷达动目标检测方法

方明; 戴奉周; 刘宏伟; 王小谟; 秦童

doi:10.11999/JEIT150442

基于联合稀疏恢复的宽带雷达动目标检测方法

doi: 10.11999/JEIT150442

1.
(西安电子科技大学雷达信号处理国家重点实验室西安 710071) ②(中国电子科学研究院北京 100041)

基金项目:

国家自然科学基金(61271291，61201285)，新世纪优秀人才支持计划(NCET-09-0630)，全国优秀博士学位论文作者专项资金(FANEDD-201156)和中央高校基本科研业务费专项资金

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出版历程
- 收稿日期: 2015-04-20
- 修回日期: 2015-07-13
- 刊出日期: 2015-12-19

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

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

Funds:

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

摘要

摘要: 针对宽带雷达目标回波存在越距离单元走动的问题，该文提出一种基于联合稀疏恢复的宽带雷达动目标检测方法。该方法先在频域对回波数据进行预白化处理，抑制杂波；然后在频率-慢时间域推导出目标信号的联合行稀疏表示，并通过联合稀疏恢复算法得到目标的频域估计；最后通过逆傅里叶变换得到目标的时域估计。仿真结果验证了该方法的有效性。
- 宽带雷达 /
- 目标检测 /
- 越距离单元走动 /
- 杂波抑制 /
- 联合稀疏恢复
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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