利用盲信号分离的自然梯度盲均衡算法  

Natural Gradient Blind Equalization Algorithm Based on Blind Signal Separation

作　　者：王杰[1] 

机构地区：[1]广州大学机械与电气工程学院,广州510006

出　　处：《电子科技大学学报》2008年第2期181-183,共3页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(60505005);广东省自然科学基金(05103553)

摘　　要：针对目前已有的基于盲信号分离的盲均衡算法没有利用传输信号本身的统计特性而存在的因为近似处理引起的误差的问题,该文提出一种基于盲信号分离的自然梯度盲均衡算法。该算法充分利用了信号星座图的先验知识,为解决多峰值引起的问题采用了多阶聚类的方法。这比仅仅基于盲信号分离的盲均衡算法更为精确,从而能得到更快的收敛速度和更低的码间干扰。Where the approximate processing leads error problems. In this paper, a new natural gradient blind equalization algorithm based on BSS is proposed. The underlying prior knowledge of source signals constellation is made full use of and a multi-stage clustering method is adopted to solve multi-peak problem in the new algorithm. Simulation results show that the new algorithm has higher accuracy than those only based on BBS and has higher convergence speed and less inter-symbol interference.

关 键 词：盲均衡 盲分离 聚类 

分 类 号：TN911.72[电子电信—通信与信息系统]