基于盲源分离的水声信道盲均衡处理方法

BLIND SOURCE SEPARATION BASED UNDERWATER ACOUSTIC CHANNEL BLIND EQUALIZATION

提出了一种基于盲源分离的水声信道讯均衡处理方法,通过对接收信号过采样构成源信号,采用了基于信息最大化原理(Infomax)在线分离算法进行了水声信道的盲均衡,并研究了时变水声信道条件下算法的均衡情况,仿真实验结果表明,该处理方法对多径水声信道具有较好的均衡效果,同时不受最小相位的条件限制。

An underwater acoustic channel blind equalization method via the blind source separation theory is presented. Constructing source signal by oversampling of the received signal, an on-line separation algorithm based on infomax principle is employed to equalize the underwater acoustic channel. Convengence results in both time-invariant and time-variant channel are studied. Simulation experiment shows that without the limit of minimum phase, the proposed algorithm gains promising results in multipath underwater acoustic channel.