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Bayesian Channel Estimation Techniques for AF MIMO Relaying Systems

Panagiota Lioliou (Institutionen för signaler och system, Signalbehandling) ; Mats Viberg (Institutionen för signaler och system, Signalbehandling) ; Michail Matthaiou (Institutionen för signaler och system, Signalbehandling)
IEEE VTS Vehicular Technology Conference Proceedings. VTC 2011 - Fall (1090-3038). p. Art. no. 6093283. (2011)
[Konferensbidrag, refereegranskat]

In this paper, we consider the fundamental problem of channel estimation in multiple-input multiple-output (MIMO) amplify-and-forward (AF) relaying systems operating over random channels. Using the Bayesian framework, linear minimum mean square error (LMMSE) and expectation-maximization (EM) based maximum a posteriori (MAP) channel estimation algorithms are developed, that provide the destination with full knowledge of all channel parameters involved in the transmission. The performance of the proposed algorithms is evaluated in terms of the mean square error (MSE) as a function of the signal-to-noise ratio (SNR) during the training interval. Our simulation results show that the incorporation of prior knowledge into the channel estimation algorithm offers improved performance, especially in the low SNR regime.



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Denna post skapades 2011-11-15. Senast ändrad 2016-08-22.
CPL Pubid: 148497

 

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