基于MMSE的自适应盲均衡算法  

Adaptive Blind Equalization Algorithm Based on MMSE

作　　者：陈彩云[1] 谢胜利[1] 

机构地区：[1]华南理工大学电子与信息学院,广州510641

出　　处：《计算机工程》2008年第18期30-32,共3页Computer Engineering

基　　金：国家自然科学基金资助重点项目(U0635001);国家自然科学基金资助项目(60505005;60674033;60774094)

摘　　要：提出一种估计最小均方误差的盲均衡算法。与RLS算法原理类似,该方法依据矩阵求逆引理逐步更新自相关矩阵及其伪逆,以达到快速收敛,且对迭代初始值不敏感。与非递归算法相比,该自适应在线算法无需直接计算相关矩阵的伪逆或引入奇异值分解,避免了估计相关矩阵的秩或信道阶数。快速收敛以及在线处理的特性使其可以应用到实时通信信号处理中。仿真结果证明算法具有很好的在线均衡性能。This paper proposes an adaptive blind equalization algorithm for Minimum Mean Squared Error（MMSE）. Like RLS algorithm, the method recursively updates correlation matrix and its inversion according to the matrix inversion lemma, thus ensures convergence and is not sensitive to initialization. Unlike many subspace methods, the algorithm does not require channel order estimation and it is robust to channel order mismatch. Fast convergence and online property enable it to be used in real-time communication applications. Simulation results show that the algorithm has good performance of online equalization.

关 键 词：盲均衡 RLS算法 码间干扰 

分 类 号：TN911.5[电子电信—通信与信息系统]