Bayesian Channel Estimation Techniques for AF MIMO Relaying Systems
Paper i proceeding, 2011

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.

Författare

Panagiota Lioliou

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Mats Viberg

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Michail Matthaiou

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

IEEE Vehicular Technology Conference

15502252 (ISSN)

Art. no. 6093283- 6093283

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Elektroteknik och elektronik

DOI

10.1109/VETECF.2011.6093283

ISBN

978-1-4244-8327-3

Mer information

Skapat

2017-10-07