Blind Source Separation Via Geometric Segmentation with Canonical Correlation Analysis in Satellite Communications

In this paper, we consider a simple and effective blind source separation (BSS) method based on geometric segmentation in satellite communications. In the geometric segmentation, we analyze the correlation between any two vectors with canonical correlation analysis. There are two contributions in this paper. Firstly, a three-dimensional geometrical hybrid model is proposed based on the source signal's sparseness. Secondly, a novel geometrical hybrid model of feature extraction is proposed according to the idea of canonical correlation analysis. At last, we discuss the performance of the proposed method and verify the novel method based on several simulations. The experimental results demonstrate the effectiveness of the proposed method.