Bayesian Channel Estimation Techniques for AF MIMO Relaying Systems
Paper in proceedings, 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.

Author

Panagiota Lioliou

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Mats Viberg

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Michail Matthaiou

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

IEEE Vehicular Technology Conference

15502252 (ISSN)

Art. no. 6093283- 6093283

Areas of Advance

Information and Communication Technology

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/VETECF.2011.6093283

ISBN

978-1-4244-8327-3

More information

Created

10/7/2017