文献类型：期刊文献

中文题名：一种基于统计特性变换的盲信道辨识与均衡算法

英文题名：An Algorithm for Blind Identification and Equalization Based on Equivalent Transformation of Statistical Property

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：34

期号：5

起止页码：719

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_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 transformation; blind identification; blind equalization; algorithm

摘要：在接收信号过采样的情况下,总结了SIMO信道堆栈系统模型。在此基础上针对输入信号为平稳非独立同分布且有已知自相关函数的情况,引入统计特性变换,导出了变换阵的闭式解。提出一种适用于平稳信号源的盲信道辨识与均衡算法,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:本文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 oversampling. The concept of statistical property transformation is discussed according to the situation in which channel input is stationary and non-identically independent distribution （i. i. d. ） with a priori known autocorrelation function. In this paper, the 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 performances of estimation error and convergence are analyzed. Simulation results demonstrate the proposed approach can effectively equalize the channel driven by non-i, i. d. input. This algorithm also has advantages of high accuracy and fast convergence.