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几种改进型RLS算法在自适应滤波系统中的应用
引用本文:孙锦华,金力军.几种改进型RLS算法在自适应滤波系统中的应用[J].重庆邮电学院学报(自然科学版),2003,15(3):14-17,26.
作者姓名:孙锦华  金力军
作者单位:西安电子科技大学综合业务网国家重点实验室 陕西西安710071 (孙锦华),西安电子科技大学综合业务网国家重点实验室 陕西西安710071(金力军)
基金项目:国家“十五”军事预研基金资助 ( 110 0 10 3 0 3 )
摘    要:对用于信道估值(自适应模拟系统)和信道均衡(自适应逆模拟系统)的几种改进型RLS算法进行了比较。由于信道估值的最优解可以模拟出信道的传输函数,从而得到较为准确的信道参数,而信道均衡的最优解却受噪声功率谱密度的影响,因此提出了适用于时变信道的、基于信道估值的均衡方法,采用性能良好的信道估值算法将改善自适应均衡的性能。

关 键 词:RLS算法  信道估值  自适应模拟  信道均衡

Application of Several Improved RLS Algorithms in Adaptive Filter System
SUN Jin-hua,JIN Li-jun.Application of Several Improved RLS Algorithms in Adaptive Filter System[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2003,15(3):14-17,26.
Authors:SUN Jin-hua  JIN Li-jun
Abstract:This paper presents the comparison among several improved RLS(Recursive Least Squares) algorithms used for channel identification (adaptive modeling system) and channel equalization (adaptive inverse modeling system). The optimal solution of channel identification can be used to estimate the transmission function of the channel, which leads to pretty accurate channel parameters, while the optimal solution of channel equalization is influenced by the power density of noise. Therefore, this paper presents a channel identification based equalization method for time-variant channel. With this method, channel identification algorithm with good performance is used to improve the performance of adaptive equalization.
Keywords:RLS algorithms  channel identification  adaptive modeling  channel equalization
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