文献类型：期刊文献

中文题名：一种基于统计特性变换的改进盲信道估计

英文题名：An Improved Approach for Blind Channel Estimation Based on Statistical Property Transform

作者：金炜[1];赵乐军[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2008

卷号：25

期号：8

起止页码：291

中文期刊名：计算机仿真

外文期刊名：Computer Simulation

收录：CSTPCD;;CSCD:【CSCD_E2011_2012】；

语种：中文

中文关键词：统计特性;等效变换;盲辨识;盲均衡;算法

外文关键词：Statistical property ; Equivalent transform ; Blind identification ; Blind equalization ; Algorithm

摘要：首先从接收信号的过采样出发,总结了SIMO信道的堆栈系统模型。针对输入信号为平稳且有已知自相关函数时的信道估计与均衡问题,通过统计特性变换的方法导出了变换阵的闭式解,最后给出一种适用于平稳信源的改进盲信道估计与均衡算法,并对算法进行仿真,分析其辨识误差、收敛性能和均衡效果。结果表明算法在输入信号为平稳非独立同分布时仍能对信道进行辨识且具有较高的精度,算法的收敛速度快并能达到理想的均衡效果。
Stacked system model of SIMO channel is introduced by considering channel output over sampling. The concept of statistical property transform is discussed according to the situation in which channel input is stationary with a priori known autocorrelation function. In this paper, closed -form solution of equivalent transformation matrix is concluded and an algorithm for blind identification ~suitable to stationary source is proposed. Through simulations, the algorithm＇s performance of estimation error and convergence is analyzed. Simulation results demonstrate that the proposed approach can equalize the channel driven by non - identically independent distribution input effectively. This algorithm also has advantages of high accuracy and fast convergence.