弹载导引头雷达SΔ-STAP低秩矩阵恢复检测方法  

SΔ-STAP Low-rank Matrix Recovery Detection Algorithm for Radar Seeker

作　　者：赵磊[1] 王欢[1] 付锦斌 孙进平[1] 

机构地区：[1]北京航空航天大学电子信息工程学院,北京100191

出　　处：《信号处理》2013年第9期1098-1104,共7页Journal of Signal Processing

基　　金：国家973计划项目(2010CB731903)

摘　　要：当弹载导引头雷达检测运动目标时,由于海杂波谱严重扩展,和差波束空时自适应处理(SΔ-STAP)方法抑制海杂波能力非常有限,提出了一种基于低秩矩阵恢复的弹载导引头雷达SΔ-STAP方法。该方法基于低秩矩阵恢复理论建立弹载导引头雷达SΔ-STAP信号模型,首先采用SΔ-STAP方法预处理海杂波;然后利用鲁棒主成份分析(RPCA)技术从距离多普勒数据矩阵中分离出含有目标成分的稀疏矩阵;最后从距离多普勒谱图中有效地检测出运动目标。仿真实验验证了该方法在低信噪比情况下的有效性和鲁棒性。When radar seeker detects moving target in the sea, the sum and difference beams space-time adaptive pro- cessing （∑△-STAP） algorithm has a very limited ability to suppressing sea clutter due to the serious spreading of sea clutter spectrum, an efficient ∑△-STAP algorithm based on low-rank matrix recovery is proposed. The proposed algorithm models the ∑△-STAP signal based on low-rank matrix recovery theory, ∑△-STAP algorithm is firstly used for preproeessing the sea clutter, then the robust principal component analysis （RPCA） technique is used to separate the sparse matrix of target com- ponent from the range-Doppler data matrix, finally the moving target is effectively detected from the rang-Doppler spectrum map. Simulation results demonstrate the effectiveness and robustness of the proposed algorithm in the low SNR conditions.

关 键 词：空时自适应处理 低秩矩阵恢复 主成份分析 加速近段梯度法 

分 类 号：TN95[电子电信—信号与信息处理]