Channel Tracking for AF MIMO Relaying Systems
Paper i proceeding, 2012

In this paper, we consider the problem of channel estimation in multiple-input multiple-output (MIMO) amplifyand- 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.

Channel estimation

Kalman filters

Channel tracking

MIMO

Författare

Panagiota Lioliou

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

Daniel Svensson

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

Mats Viberg

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

Proceedings of the 76th Vehicular Technology Conference, VTC Fall 2012, SEP 03-06

1550-2252 (ISSN)

1-5

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Sannolikhetsteori och statistik

Signalbehandling

DOI

10.1109/VTCFall.2012.6399288

ISBN

978-1-4673-2217-1