Bayesian Approach to Channel Estimation for AF MIMO Relaying Systems
Magazine article, 2012

In this paper, we investigate the problem of channel estimation in amplify-and-forward multiple-input multiple-output relaying systems operating over random wireless channels. Using the Bayesian framework, novel linear minimum mean square error and expectation-maximization based maximum a posteriori channel estimation algorithms are developed, that provide the destination with full knowledge of all channel parameters involved in the transmission. Moreover, new, explicit expressions for the Bayesian Cramer-Rao bound are deduced for predicting and evaluating the channel estimation accuracy. Our simulation results demo nstrate that the incorporation of prior knowledge into the channel estimation algorithm offers significantly improved performance, especially in the low signal-to-noise ratio regime.

capacity

expectation-maximization

channel estimation

Amplify-and-forward (AF)

mean-square error

design

information

amplify

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 Journal on Selected Areas in Communications

0733-8716 (ISSN)

Vol. 30 8 1440-1451

Subject Categories

Telecommunications

DOI

10.1109/jsac.2012.120913

More information

Created

10/8/2017