Channel Tracking for AF MIMO Relaying Systems
Paper in proceedings, 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

Author

Panagiota Lioliou

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

Daniel Svensson

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

Mats Viberg

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

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

1550-2252 (ISSN)

1-5

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Probability Theory and Statistics

Signal Processing

DOI

10.1109/VTCFall.2012.6399288

ISBN

978-1-4673-2217-1

More information

Created

10/7/2017