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Channel Tracking for AF MIMO Relaying Systems

Panagiota Lioliou (Institutionen för signaler och system, Signalbehandling) ; Daniel Svensson (Institutionen för signaler och system, Signalbehandling) ; Mats Viberg (Institutionen för signaler och system, Signalbehandling)
Proceedings of the 76th Vehicular Technology Conference, VTC Fall 2012, SEP 03-06 (1550-2252). p. 1-5. (2012)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: MIMO, Channel estimation, Channel tracking, Kalman filters

Received Best Student Paper Award.

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Denna post skapades 2012-11-20. Senast ändrad 2015-02-16.
CPL Pubid: 166388


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Institutionen för signaler och system, Signalbehandling (1900-2017)


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