基于二阶循环统计量的盲均衡算法  

Blind equalization algorithm based on second-order statistics

作　　者：陈振江[1] 张立毅[1] 赵菊敏[1] 李灯熬[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024

出　　处：《计算机工程与设计》2008年第16期4194-4196,共3页Computer Engineering and Design

基　　金：山西省青年科学基金项目(2007021016)

摘　　要：提出一种新的基于循环二阶统计量的盲均衡算法。通过对信道输出信号进行过采样,建立单输入多输出信道模型。由于过采样等效信道矩阵具有特殊结构,使得仅仅根据零延迟时的协方差矩阵所包含的信息就能实现信道估计,根据不同延迟下的协方差矩阵也可求得不同时延的均衡器矩阵,然后用最小均方误差MMSE准则来优化均衡器得到最佳延迟协方差矩阵。仿真结果表明了该算法的有效性。A new blind equalization algorithm based on the second-order cycle statistics is presented. The equalization of the single input multiple output system which can be obtained by fractionally spaced sampling. Due to oversampling, the equivalent channel matrix possesses a particular structure which enables us to estimate the channel based only on the information contained in the covariarice matrix at zero delay. According to different delay the covariance matrix to seek delay equalizer different matrix, then a minimum mean square error MMSE criterion is used to optimize the best equalizer delay covariance matrix. Simulation examples are provided to demonstrate the performance advantage of the proposed algorithm,

关 键 词：过采样 循环平稳 二阶统计量 单输入多输出模型 盲均衡 

分 类 号：TN911.72[电子电信—通信与信息系统]