平均自适应滤波的信道均衡算法研究  

Channel equalization using adaptive filtering with averaging

作　　者：赵春晖[1] 张哲 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001

出　　处：《信息技术》2004年第6期102-104,共3页Information Technology

基　　金：高等学校青年教师教学科研奖励基金(TRAPOYT-01);黑龙江省杰出青年基金(JC-02-07);高校博士点基金(20020217006)。

摘　　要：近年来数字传输系统的信道均衡侧重于训练时间的缩短和跟踪速度的加快,需要研究快速收敛的自适应算法。从这点考虑递归最小二乘(RLS)均衡器是最佳的选择,但RLS算法的运算非常复杂而且存在稳定性问题,因而有必要研究一种能够代替传统RLS的算法。在本文中介绍一种基于平均自适应滤波(AFA)算法的均衡器,其主要优点是与RLS算法相当的快速收敛速度,同时运算复杂度较低。In the past years digital transmission systems impose the application of channel equalizers with short training time and high tracking rate. These requirements turn our attention to adaptive algorithms, which con(verge) rapidly. From this point of view the best choice is the recursive least squares (RLS) equalizer. Unfortunately this equalizer has high computational complexity and stability problems. Therefore it is worth investiga(ting) a good alternative of the classic RLS equalizer. This paper present such a channel equalizer based on adaptive filtering with averaging (AFA). The main advantages of AFA equalizer could be summarized as follows. It has high convergence rate comparable to that of the RLS equalizer and at the same time low computational complexity.

关 键 词：信道均衡 平均自适应滤波 快速收敛 低运算复杂度 

分 类 号：TN911.72[电子电信—通信与信息系统]