目标的雷达散射截面(RCS)包含了丰富的目标类别信息,如何有效利用目标RCS特征对空间目标的雷

达识别具有重要意义. 文中提取中心矩作为特征向量,采用主分量分析( PCA)进一步进行特征压缩,利用支撑矢

量-Target radar cross section (RCS) contains a wealth of objective categories of information, how the effective use of target RCS characteristics of spatial object' s radar identification of great significance. Text central moments as the feature vectors extracted, using principal component analysis (PCA) further characteristics of compression, the use of support vector