相控阵机载雷达杂波抑制的空时可分离自适应滤波  

Space-Time Separable Filter for Adaptive Clutter Suppression in Phased Array Airborne Radars

作　　者：李晓明[1] 冯大政[1] 罗钉[1] 保铮[1] 

机构地区：[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

出　　处：《数据采集与处理》2009年第5期549-555,共7页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(60672128)资助项目;国家自然科学青年基金(60502044)资助项目

摘　　要：提出了一种相控阵机载雷达抑制地杂波的空时可分离自适应滤波方法;建立了关于空域权向量和时域权向量的双二次代价函数;提出了迭代寻优算法;利用循环最小化思想讨论了算法的收敛性。每步迭代中,空域和时域自适应权向量分别计算,有效地降低了估计协方差矩阵所需要的样本数。该算法具有收敛速度快、计算复杂度低、样本要求小和容差能力强等优点。基于仿真数据和实测数据的实验验证了该算法的有效性。A new space-time separable filter for clutter suppression in phased array airborne radar systems is presented. An interesting bi-quadric cost function is constructed and a novel iterative algorithm for space-time separable filter estimation is proposed. The convergence of the iterative algorithm is proved by using the idea of cyclic minimization. The spatial weight and the temporal weight are obtained, thus reducing the dimensions of the covariance matrix and the sampling requirement. The algorithm has advantages of fast convergence, low computational complexity, small sampling requirement, and robustness to array errors. Experimental results by using the simulated data and the measured data show the validity of the proposed algorithm.

关 键 词：相控阵机载雷达 杂波抑制 双二次代价函数 空时可分离滤波 

分 类 号：TN95[电子电信—信号与信息处理]