文献类型：期刊文献

中文题名：基于过采样的IIR信道盲辨识与均衡算法

英文题名：A Blind Identification and Equalization Algorithm of IIR Channel Based on Oversampling

作者：杨培奇[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：26

期号：10

起止页码：127

中文期刊名：计算机仿真

外文期刊名：Computer Simulation

收录：CSTPCD;;北大核心:【北大核心2008】；CSCD:【CSCD_E2011_2012】；

语种：中文

中文关键词：过采样;盲辨识;盲均衡

外文关键词：Oversampling; Blind identification; Blind equalization

摘要：为了信道传输质量得到保证,提出了一种通信信道的盲辨识与均衡算法。算法将信道建模成IIR信道并在其输出端过采样,分别对信道传输函数的AR参数和MA参数进行辨识。在辨识MA参数时将信道分解成多个子信道,使得未知信道的信息被充分利用,提高了系统辨识的精度。同时该算法不需要信道信息和输入信号的统计特性,因而具有广泛的适用性。仿真试验表明该算法具有良好的性能。
A blind identification and equalization algorithm of communication channel is proposed. The channel is modeled as an IIR channel and the output of the channel is oversampled. The AR coefficients and MA coefficients are identified independently. It decomposes the channel into many subchannels in order to use more information about the unknown channel and improve the identification precision when it identifies the MA coefficients. The algorithm does not need the channel information and the statistical information on the input signal, so it is widely applicable. Simulation results show good performance of the proposed algorithm.