STAP中的矩阵求逆问题研究  

Study on Matrix Inversion for STAP

作　　者：高飞[1] 王永良[2] 陈辉[2] 谢文冲[2] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073 [2]空军雷达学院,湖北武汉430019

出　　处：《雷达科学与技术》2008年第3期215-218,共4页Radar Science and Technology

基　　金：国家自然科学基金(No.60736009)

摘　　要：针对空时自适应处理(STAP)中的采样协方差矩阵求逆问题,利用其为一正定Hermite阵这一特点,提出了一种利用Hermite阵对称性分块求逆的矩阵求逆新算法,并对该算法的运算量进行了定量分析和比较。从分析结果和仿真实验可以看出,该算法计算量小,存储量小,易于工程实现,相对于实际工程中较常用的Gauss消元法具有较明显的性能改善。Based on the characteristic that the sample covariance matrix in the space-time adaptive processing（STAP） is Hermite and positive definite, this paper presents a new algorithm of matrix block-inversion. The computation cost of the new algorithm is analyzed and compared with the routine algorithms. As can be seen from the analysis results and computer simulations, the new algorithm is of less computation, storage smaller, and feasible, which achieves an obvious performance improvement in comparison with the Gauss elimination which is commonly employed in applications.

关 键 词：矩阵求逆 HERMITE矩阵 空时自适应处理 Gauss消元法 

分 类 号：TN957[电子电信—信号与信息处理] TP301.5[电子电信—信息与通信工程]