文献类型：期刊文献

中文题名：基于矩阵逆幂法的SIMO信道模型盲均衡方法

英文题名：A Blind Equalization Algorithm for SIMO Channel Model Based on Inverse Power Method

作者：赵文侃[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：2009

卷号：42

期号：5

起止页码：23

中文期刊名：通信技术

外文期刊名：Communications Technology

语种：中文

中文关键词：盲均衡;单输入多输出系统;互关系

外文关键词：blind equalization; SIMO systems; cross relations

摘要：码间干扰是实现高速数据传输的主要限制因素,如何减小码间干扰始终是通信信号处理的研究方向之一。文章根据SIMO(Single Input Multiple Output)系统模型的互关系,利用输入信源和观测噪声的统计特性,给出了一种基于矩阵逆幂法的信道盲均衡算法。计算机仿真结果表明,该算法自适应递推性有效,并在低信噪比的情况下较传统的CR(Cross Relations)方法有更好的均衡效果。
ISI is a major factor in complicating the realization of high data rate communications. How to overcome ISI has always been a focus in communication signal processing. A new blind equalization algorithm based on inverse power method is proposed, the cross relation characteristic of SIMO model, the statistical properties of the source input signal and the observation noises are used. Computer simulation results show that this algorithm, as compared with traditional CR method, could achieve more adaptive and better equalization effectiveness under low SNR.