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Fast inverse covariance matrix computation based on element-order recursive method for space-time adaptive processing

查看全文 作　　者：YANG [1]XiaoPeng;SUN [1]YuZe;LIU [2]YongXu;ZENG [1]Tao;LONG [1]Teng 高影响力作者 机构地区：[1]School of Information and Electronic,Beijing Institute of Technology;[2]Southwest China Research Institute of Electronic Equipment高影响力机构 出　　处：《Science China(Information Sciences)》索引2015年第58卷第2期,共14页高影响力期刊 基　　金：supported by 111 Project of China(Grant No.B14010);National Natural Science Foundation of China(Grant Nos.61225005,61120106004) 摘　　要：Because of large computational complexity in the inverse space-time covariance matrix computation,the conventional space-time adaptive processing(STAP) is unsuitable for practical implementation. According to the block Hermitian matrix property of covariance matrix, a new element-order recursive method is proposed in this paper to calculate the inverse space-time covariance matrix for STAP weight vector. In the proposed method, the inverse space-time covariance matrix of first element-order is initially calculated recursively based on block Hermitian matrix property, and then the inverse space-time covariance matrix of high element-order is correspondingly deduced recursively based on obtained inverse covariance matrix of previous element-order.Finally, STAP weight vector is calculated based on the final inverse covariance matrix. Afterwards, a modified reduced-dimension STAP method is derived by combining the proposed method with the m-Doppler Transformation(m DT-SAP) STAP approach. Based on the simulated and the actual airborne phased array radar data, the proposed method verified that the computational complexity is much smaller than conventional STAP methods. The proposed element-order recursive method for STAP is applicable for practical airborne phased radar system. 关 键 词：空时自适应处理 协方差矩阵 矩阵计算 元素阶 递推法 埃尔米特矩阵 STAP 递归方法
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