Paper Info
Title
Bayesian Approach to Channel Estimation for AF MIMO Relaying Systems.
Abstract
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.
Year
DOI
Venue
2012
10.1109/JSAC.2012.120913
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Bayes methods,MIMO communication,amplify and forward communication,channel estimation,expectation-maximisation algorithm,least mean squares methods,wireless channels,AF MIMO relaying systems,Bayesian Cramer-Rao bound,MMSE,amplify-and-forward multiple-input multiple-output relaying systems,channel estimation accuracy,expectation-maximization based maximum a posteriori algorithms,linear minimum mean square error,low signal-to-noise ratio regime,random wireless channels,Amplify-and-forward (AF),channel estimation,expectation-maximization,mean-square error,multiple-input multiple-output (MIMO),relays
Mathematical optimization,Wireless,Computer science,Expectation–maximization algorithm,MIMO,Communication channel,Minimum mean square error,Mean squared error,Maximum a posteriori estimation,Bayesian probability
Journal
Volume
Issue
ISSN
30
8
0733-8716
Citations 
PageRank 
References 
15
0.68
13
Authors
3
Name
Order
Citations
PageRank
Panagiota Lioliou1442.27
Mats Viberg21043126.67
Michail Matthaiou31842108.74