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 RL S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 。
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.
出处
《重庆邮电学院学报（自然科学版）》
2003年第3期14-17,26,共5页
Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)
基金
国家"十五"军事预研基金资助 ( 110 0 10 3 0 3 )
关键词
RLS算法
信道估值
自适应模拟
信道均衡
RLS algorithms
channel identification
adaptive modeling
channel equalization
