关键字:盲源分离 瞬时混合 卷积混合 排序模糊 雷达信号分选 Abstract Abstract Blind source separation (BSS) is an approach to restore or estimate the original source signals only using the information of the mixed signals observed in each input channel with the original source signals and input channels unknown. Involving theories like Statistical Signal Processing, information theory and Artificial Neural Network etc, BSS has become one of the key topics in many fields. This thesis describes in detail the algorithms of BSS and studies their application in radar signal sorting. Contents can be summarized as follows: This thesis will study the algorithm of instantaneous mixing BSS, including Indepe