Paper Info
Title
Channel Tracking for AF MIMO Relaying Systems.
Abstract
In this paper, we consider the problem of channel estimation in multiple-input multiple-output (MIMO) amplify-and-forward (AF) relaying systems operating over time varying channels. Only data at the receiving end are assumed available for the estimation. By employing a first-order autoregressive (AR) model for characterizing the time-varying nature of the channels to be estimated, we derive an expectation-maximization (EM) Kalman filter (KF) that utilizes the received signal at the destination to track the individual channel links. The extended KF algorithm is also derived and compared to the proposed EM-based KF. Our simulation results show that the proposed EM-based KF offers better estimation performance with less complexity when compared to the EKF algorithm.
Year
DOI
Venue
2012
10.1109/VTCFall.2012.6399288
VTC Fall
Keywords
Field
DocType
Kalman filters,MIMO communication,amplify and forward communication,autoregressive processes,expectation-maximisation algorithm,telecommunication channels,-maximization,AF MIMO relaying systems,EM-based KF,Kalman filter,amplify-and-forward relaying systems,channel estimation,channel tracking,extended KF algorithm,first-order autoregressive model,multiple-input multiple-output,time varying channels,time-varying nature
Autoregressive model,Computer science,MIMO,Communication channel,Electronic engineering,Telecommunication channels,Kalman filter,Ekf algorithm,Mimo communication
Conference
ISSN
Citations 
PageRank 
1550-2252
2
0.39
References 
Authors
0
3
Name
Order
Citations
PageRank
Panagiota Lioliou1442.27
Daniel Svensson211912.95
Mats Viberg31043126.67