一种基于最大化信干噪比的通信混合信号多通道盲分离算法

对通信混合信号多通道盲分离中噪声放大问题进行了研究。基于最大化信干噪比的思想，提出了一种新的求解分离矩阵的算法。当混合矩阵条件数较大时，该算法能很好地解决由于噪声放大造成的分离性能下降。仿真表明，该算法能有效地降低误码率，提高盲分离性能，具有实际意义。

Algorithm for Blind Separation of Communication Signals Based on Maximizing the SINR

The problem of noise amplification in the multi-channel blind separation of communication signals is researched. A new 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 can beauti- fully solve the problem of separation performance degradation caused by noise amplification. Simulation results show that this algorithm can reduce the bit error rate effectively and improve the performance of blind separation, exhibiting practical application value.