脉冲噪声环境下的恒模盲均衡算法  

Constant modulus algorithm for blind equalization under impulsive noise environments

作　　者：郭莹[1] 邱天爽[1] 唐洪[1] PARK Yong-wan 

机构地区：[1]大连理工大学电子与信息工程学院,辽宁大连116024 [2]韩国岭南大学情报通信系,韩国庆山712-749

出　　处：《通信学报》2009年第4期35-40,共6页Journal on Communications

基　　金：国家自然科学基金资助项目(60372081,30570475);国家自然科学基金中韩(NSFC/KOSEF)联合资助项目(2005-25);教育部博士点基金资助项目(20050141025)~~

摘　　要：α稳定分布噪声导致现有的基于梯度下降法的恒模盲均衡算法(SGD-CMA)失效。通过分析厚拖尾噪声对现有算法的影响,给出了2种改造算法,即韧性梯度下降恒模盲均衡算法(SGD-RCMA)和递归最小二乘恒模盲均衡算法(RLS-RCMA)。仿真表明2种改造算法比传统的恒模盲均衡算法具有更好的适用性,不仅适用于高斯噪声环境而且适合于脉冲噪声环境。同时RLS-RCMA与SGD-RCMA相比具有更快的收敛速度和更好的码间干扰抑制能力。The presence of α stable distributed ambient channel noise in wireless systems can degrade the performance of existing constamt modulus（CM） equalizers. The problem of blind equalization in noisy communication channels was investigated by addressing the negative effects of heavy-tailed noise to the original constant modulus algorithm based on a stochastic gradient descent （SGD-CMA）. Two modified algorithms were proposed. The first is robust CM algorithm based on SGD （SGD-RCMA） and the second is robust CM based on recursive least square （RLS-RCMA） novel methods are robust under both Gaussian and α stable distributed ambient noise environments. And compared to SGD-RCMA method, the RLS-RCMA method has a significantly faster convergence rate and more powerful ISI impressing ability.

关 键 词：盲均衡 恒模算法 递归最小二乘 

分 类 号：TN911.72[电子电信—通信与信息系统]