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基于联合稀疏恢复的宽带雷达动目标检测方法
引用本文:方明,戴奉周,刘宏伟,王小谟,秦童.基于联合稀疏恢复的宽带雷达动目标检测方法[J].电子与信息学报,2015,37(12):2977-2983.
作者姓名:方明  戴奉周  刘宏伟  王小谟  秦童
作者单位: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
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。

关 键 词: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
收稿时间:2015-04-20

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.Detection of Moving Targets for Wideband Radar Based on Joint-sparse Recovery[J].Journal of Electronics & Information Technology,2015,37(12):2977-2983.
Authors:Fang Ming  Dai Feng-zhou  Liu Hong-wei  Wang Xiao-mo  Qin Tong
Affiliation:1.(National Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo
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.
Keywords:
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