Title :
Research on the blind separation algorithm and its improved algorithm based on maximizing the SINR
Author :
Zhang Hao ; Yang Yu-hong ; Zhu Yi-jun ; Xin Gang
Author_Institution :
Inf. Eng. Univ., Zhengzhou, China
Abstract :
The problem of noise amplification in the multichannel blind separation of communication signals is researched. A new algorithm and its improved algorithm to seek the separation matrix is proposed based on the idea of maximizing the signal-to-interference-plus-noise power ratio (SINR). When the condition number of the separation matrix is large, the separation matrix sought by this algorithm and its improved algorithm can beautifully solve the problem of separation performance degradation caused by noise amplification. Simulation results show that this algorithm and its improved algorithm can reduce the bit error rate effectively and improve the performance of blind separation, exhibiting practical application value.
Keywords :
blind source separation; error statistics; matrix algebra; SINR maximization; bit error rate reduction; communication signals; multichannel blind separation; noise amplification; separation matrix; separation performance degradation; signal-to-interference-plus-noise power ratio; Interference; Receiving antennas; Signal processing algorithms; Signal to noise ratio; Time-frequency analysis; SINR; blind separation; communication signals; condition number; mixing matrix; separation matrix;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6663948