Training-based estimation of correlated MIMO fading channels in the presence of colored interference

被引:9
作者
Katselis, Dimitrios
Kofidis, Elftherios [1 ]
Theodoridis, Sergios
机构
[1] Univ Piraeus, Dept Stat & Insurance Sci, Piraeus 18534, Greece
[2] Univ Athens, Dept Informat & Telecommun, Athens 15784, Greece
关键词
beamforming; covariance feedback; flat fading; interference suppression; channel estimation; multiple-input multiple-output (MIMO); minimum mean square error (MSE); optimal training; power allocation; water filling;
D O I
10.1016/j.sigpro.2007.02.016
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, training-based estimation of correlated block fading channels in a multiple-antenna, multi-user environment is considered. The linear minimum mean squared error (LMMSE) estimator is presented first. The problem of optimally designing the training data set, so as to minimize the mean squared channel estimation error subject to a total transmit power constraint, is then addressed. The design is based on the assumption of the availability of the channel and interference second-order statistics at the transmitter. It is shown that the optimal transmission directions are dictated jointly by the eigen-decompositions of the channel and interference covariance matrices. Their roles, in the channel estimation and interference suppression tasks, respectively, are revealed in the optimal transmit beamformer structure. The simulation results demonstrate that the gain in the estimation performance from using the optimal training sequence increases considerably with increasing spatial fading correlation, especially in strong interference environments. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:2177 / 2187
页数:11
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