Iterative Soft-Kalman Channel Estimation for Fast Time-Varying MIMO-OFDM Channels

被引:27
作者
Simon, Eric Pierre [1 ]
Khalighi, Mohammad Ali [2 ]
机构
[1] Univ Lille, IEMN Lab, TELICE Res Grp, Lille, France
[2] Ecole Cent Marseille, Inst Fresnel, CNRS, UMR 7249, Marseille, France
关键词
MIMO; OFDM; channel estimation; fast fading; iterative detection;
D O I
10.1109/WCL.2013.081413.130515
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter addresses the problem of channel estimation in fast time-varying frequency selective channels. Considering orthogonal frequency division multiplexing in a multiple-input multiple-output system, we perform soft-Kalman filtering for channel estimation in conjunction with soft-interference canceling at the receiver to reduce the inter-carrier interference. We also propose two simplified implementations of the soft-Kalman filter for the case of constant-modulus signal constellations that allow considerable reductions in the receiver computational complexity, while performing more or less closely to the exact soft-Kalman estimator, depending on channel conditions. For non-constant-modulus signal constellations, however, the exact formulation of the soft-Kalman filter should be used.
引用
收藏
页码:599 / 602
页数:4
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