Enhanced EM-based channel estimation for MIMO-OFDM in highly mobile channels

被引：0
|
作者：
陈东华 [1 ]
仇洪冰 [1 ,2 ]
机构：
[1] School of Telecommunications Engineering,Xidian University
[2] Department of Communication and Information Engineering,Guilin University of Electronic Technology
来源：
Journal of Beijing Institute of Technology | 2011年 / 20卷 / 01期
基金：
中国国家自然科学基金;
关键词：
multiple input multiple output(MIMO); orthogonal frequency division multiplexing(OFDM); channel estimation; expectation maximization(EM)algorithm; intercarrier interference;
D O I：
10.15918/j.jbit1004-0579.2011.01.012
中图分类号：
TN919.3 [数据传输技术];
学科分类号：
0810 ; 081001 ;
摘要：
An enhanced expectation-maximization(EM)-based iterative channel estimator for coping with channel time variation is proposed for mobile multiple-input multi-output orthogonal frequency division multiplexing(MIMO-OFDM)systems.In the proposed scheme,the recursive least squares(RLS)algorithm is applied to track the time-varying channel impulse response(CIR)within several symbols.By using the tracked time-varying CIR,the ICI are constructed and then cancelled from the received signal,thus reducing their impactions on the channel estimation.Moreover,based on an over-sampled complex exponential basis expansion model(OCE-BEM),an improved channel predictor is derived in order to improve the initial channel estimates accuracy of the iterative estimator.Simulation results show that the proposed scheme outperforms the classic counterpart in time-varying scenarios with a smaller cost of complexity.
引用
收藏
页码：87 / 93
页数：7
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