基于杂波协方差矩阵特征向量分析STAP降维方法  

Rank-Reduced STAP Based on Eigen-Decomposition of the Covariance Matrix

作　　者：罗毅[1] 刘国岁[1] 苏卫民[1] 

机构地区：[1]南京理工大学电光学院,南京210094

出　　处：《电子学报》1999年第12期95-97,共3页Acta Electronica Sinica

摘　　要：本文在对杂波协方差矩阵的特征值、阵特征向量做出分析的基础上，讨论了无信噪比损失的降维的充要条件，并给出了一种满足该条件的降维变换阵的构造方法．The selection of the transform matrix has an effect on the output signal to interference plus noise ratio. Itcan achieve its upper bound when transform matrix is selected in a special form. So, a new kind of rank-reduced STAP is proposed. When covdariance matrix is known, it is the same as the full dimension optimal STAP. When covariance matrix is unknown, it also has a good appearance.

关 键 词：杂波抑制 协方差矩阵 STAP降维 特征向量 

分 类 号：TN911[电子电信—通信与信息系统]