中文摘要：

基于独立分量分析（ICA）的盲源分离（BSS）是一种多源信号分离的优化方法。针对ICA通道数目必需不少于源信号数目的限制条件,提出一种基于频谱识别的重盲源分离（R e-BSS）方法,利用虚拟通道实现通道数目的增加。单通道测量信号的仿真实验和实际信号处理结果表明,该方法简单可行,为盲源分离的进一步工程应用提供了新的思路与方法。

英文摘要：

Blind source separation（BSS） based on the independent component analysis（ICA） is a kind of optimal method for multi-source signal separation.For the ICA issue,the number of the test channel not being less than that of the signal source,a new method of repeated blind source separation（Re-BSS） based on power spectral analysis is proposed.This method can increase the number of test channel by means of setting a virtual signal channel.The signal simulation of one single channel and the signal processing of a practical measurement show that the proposed Re-BSS method is simple and feasible for operation and provides a new way for the further engineering application of the BSS.