文献类型：期刊文献

中文题名：基于模糊矩阵辨识的半盲MIMO-OFDM信道辨识算法

英文题名：Ambiguity Matrix Identification Based Semi-blind Channel Identification Method for MIMO-OFDM Systems

作者：白岩[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：2011

卷号：37

期号：2

起止页码：224

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2008】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：MIMO;OFDM;盲信道辨识;循环前缀;子空间

外文关键词：MIMO; OFDM; blind channel identification; CP; subspace

摘要：对于多输入多输出系统,传统的基于训练序列的信道辨识方法为跟踪信道的变化,必须发送大量冗余信息,传输效率较低;而基于子空间的纯盲方法又带有不可避免的模糊性,辨识结果精度不够。在子空间法的基础上,利用少量训练符号估计出模糊矩阵,以此矫正子空间法得到的结果。仿真结果显示:在保证辨识精度的前提下,该方法减少了训练符号等冗余,提高了传输效率。
In order to track the channel variation of MIMO-OFDM systems,traditional channel identification methods based on training sequence had to send large amount of redundant information,which results in lower efficiency of transmission.Meanwhile,the blind method based on subspace may have inevitable ambiguity and lower precision of identification.In this paper,an estimation method for the ambiguity matrix is proposed,which utilizes less training symbols to rectify the results from subspace method.The simulation results show that this proposed algorithm can reduce the amount of training symbols and increase the efficiency of transmission.