Analysis of Blind Source Separation Method for Weak Communication Signals Based on <em>l</em><sub>2,1</sub><em>−RsPCA</em> Algorithm
Guanqun Niu, Lin Qi and Zheng Dou
School of Information and Communication Engineering of Harbin Engineering University, Harbin, China
Abstract—With the electromagnetic environment becoming more and more complicated, the signal received by the communication receiver always overlaps much noise and interference. The problem of the weak signal separation has gradually become more and more important. To solve this problem, we propose an algorithm called l2,1−RsPCA by combining some research results in the field of communication and mathematics. Through the separation experiment for random number and spread spectrum BPSK signal, we prove that the algorithm of l2,1−RsPCA can separate single-channel mixed signal effectively and outperforms some other classical algorithms.
Index Terms—RPCA, SCBSS, IALM, signal separation, weak signal, low rank characteristic
Cite: Guanqun Niu, Lin Qi and Zheng Dou, "Analysis of Blind Source Separation Method for Weak Communication Signals Based on l2,1−RsPCA Algorithm," International Journal of Signal Processing Systems, Vol. 7, No. 2, pp. 38-42, June 2019. doi: 10.18178/ijsps.7.2.38-42
Index Terms—RPCA, SCBSS, IALM, signal separation, weak signal, low rank characteristic
Cite: Guanqun Niu, Lin Qi and Zheng Dou, "Analysis of Blind Source Separation Method for Weak Communication Signals Based on l2,1−RsPCA Algorithm," International Journal of Signal Processing Systems, Vol. 7, No. 2, pp. 38-42, June 2019. doi: 10.18178/ijsps.7.2.38-42