盲信号分离技术研究与算法综述  

Research and Survey on Algorithms of Blind Signal Separation Technology

作　　者：周治宇[1] 陈豪[1] 

机构地区：[1]中国空间技术研究院西安分院空间微波技术国家级重点实验室,西安710100

出　　处：《计算机科学》2009年第10期16-20,31,共6页Computer Science

基　　金：国家重点实验室基金项目(9140C5305020705;9140C5306030707)资助

摘　　要：盲信号分离技术是从接收信号中恢复未知源信号的有效方法,已经成为神经网络和信号处理等领域新的研究热点。首先介绍盲信号分离的发展状况,然后在介绍了盲信号分离的线性瞬时模型、线性卷积模型和非线性模型的基础上,对相应模型求解算法的基本原理、特点进行了阐述,接着还对与盲信号分离紧密相关的盲信号抽取技术进行了综述,最后指出盲信号分离技术的研究方向和广阔的应用前景。Blind signal separation（BSS） is a useful technology which can recover the unknown source signals from the received signals. It has become a new research hot spot of neural network and signal processing. We first introduced the development of BSS and then introduced the BSS＇s math models which containe linear instant model, linear convolutive model and nonlinear model. We also analysed the algorithms＇ principal and characteristic of every model and introduced blind signal extraction technology which is closed to BSS. Finally, we pointed out the research direction and wide fore- ground of BSS.

关 键 词：盲信号分离 独立分量分析 盲源分离 综述 

分 类 号：TN911.7[电子电信—通信与信息系统]