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MIMO-OFDM系统中快衰落信道的估计
引用本文:吴赟,罗汉文,宋文涛,黄建国.MIMO-OFDM系统中快衰落信道的估计[J].上海大学学报(英文版),2007,11(3):278-282.
作者姓名:吴赟  罗汉文  宋文涛  黄建国
作者单位:Department of Electronic Engineering Shanghai Jiaotong University,Shanghai 200030,P. R. China,Department of Electronic Engineering,Shanghai Jiaotong University,Shanghai 200030,P. R. China,Department of Electronic Engineering,Shanghai Jiaotong University,Shanghai 200030,P. R. China,College of Marine Engineering,Northwestern Polytechnical University,Xi'an 710072,P. R. China
基金项目:国家高技术研究发展计划(863计划);国家自然科学基金
摘    要:A channel estimation approach for orthogonal frequency division multiplexing with multiple-input and multipleoutput (MIMO-OFDM) in rapid fading channels is proposed. This approach combines the advantages of an optimal training sequence based least-square (OLS) algorithm and an expectation-maximization (EM) algorithm. The channels at the training blocks are estimated using an estimator based on the OLS algorithm. To compensate for the fast Rayleigh fading at the data blocks, a time domain based Gaussian interpolation filter is presented. Furthermore, an EM algorithm is introduced to improve the performance of channel estimation by a few iterations. Simulations show that this channel estimation approach can effectively track rapid channel variation.

关 键 词:多重输入输出  频率分割  最大期望值  最小二乘方  频道区划  多路技术
文章编号:10.1007/s11741-007-0318-2
收稿时间:21 September 2005
修稿时间:2005-09-212005-12-05

Channel estimation for MIMO-OFDM systems in rapid fading channels
WU Yun,LUO Han-wen,SONG Wen-tao,HUANG Jian-guo.Channel estimation for MIMO-OFDM systems in rapid fading channels[J].Journal of Shanghai University(English Edition),2007,11(3):278-282.
Authors:WU Yun  LUO Han-wen  SONG Wen-tao  HUANG Jian-guo
Institution:1. Department of Electronic Engineering,Shanghai Jiaotong University,Shanghai 200030,P.R.China
2. College of Marine Engineering,Northwestern Polytechnical University,Xi'an 710072,P.R.China
Abstract:A channel estimation approach for orthogonal frequency division multiplexing with multiple-input and multiple-output (MIMO-OFDM) in rapid fading channels is proposed. This approach combines the advantages of an optimal training sequence based least-square (OLS) algorithm and an expectation-maximization (EM) algorithm. The channels at the training blocks are estimated using an estimator based on the OLS algorithm. To compensate for the fast Rayleigh fading at the data blocks, a time domain based Gaussian interpolation filter is presented. Furthermore, an EM algorithm is introduced to improve the performance of channel estimation by a few iterations. Simulations show that this channel estimation approach can effectively track rapid channel variation.
Keywords:channel estimation  MIMO-OFDM  expectation-maximization(EM)  least square(LS)
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