Principal Component Analysis Enhanced CBFM for Solving Monostatic Scattering Problems of Object

Abstract

In order to improve the efficiency of characteristic basis function method for analyzing the monostatic scattering problems, the principal component analysis (PCA) is used to compress the excitation matrix, then the number of the matrix equation solutions is reduced because of the reduced number of excitation. Secondly, a merged characteristic basis functions (CBFs) method is proposed by considering the mutual interaction among adjacent blocks. The number of matrix equation solutions and the number of CBFs are both reduced by using proposed method. Numerical examples verify and demonstrate that the proposed method is accuracy and efficiency.