Modified wall clutter mitigation by PCA and varimax norm in UWB through-wall-imaging

Aimed at wall clutter mitigation problem in UWB through-wall-imaging application, a modified wall clutter mitigation method is proposed and algorithm steps are given in this paper. The method adopts the PCA to decompose the dimensionality of the echo matrix, and construct a cost-function for optimizing the iteration processing. The theory foundation of the proposed method and its performance is discussed using the theory of image signal to clutter ratio. This method can mitigate the wall clutter efficiently in Synthetic Aperture Radar (SAR) and Multi-input-Multi-output (MIMO) through-wall-imaging application. Besides, the obtained imaging result not only has the minimum disorder degree, but the optimal signal to clutter ratio (SCR) performance. The processing results of the synthetic and experimental data validate the efficiency of the method.