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Lookup NU author(s): Abdullatif Khrwat, Professor Bayan Sharif, Professor Harris Tsimenidis, Professor Said Boussakta
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Conventional precoded spatial multiplexing multiple-input multiple-output (MIMO) systems using limited feedback are mainly based on the notion of time invariant channels throughout transmission. Consequently, the precoding matrix can be found during the training symbols and used over the subsequent data symbols. In this study, the authors consider a more practical system where the channel varies from one block of symbols to another. In such a scenario, the precoding matrix designed at the receiver based on the previous training symbols becomes outdated, which results in significant system performance degradation. In order to avoid this problem and reduce performance degradation, the authors propose the use of a Kalman filter linear predictor at the receiver to provide the transmitter with the precoding matrix for the next block of symbols. The performance of this method is assessed using computer simulation, and the obtained results for the proposed channel prediction demonstrate improved bit error rate performance for time-varying Rayleigh fading channels.
Author(s): Khrwat AS, Sharif BS, Tsimenidis CC, Boussakta S
Publication type: Article
Publication status: Published
Journal: IET Signal Processing
Year: 2009
Volume: 3
Issue: 6
Pages: 459-466
ISSN (print): 1751-9675
ISSN (electronic): 1751-9683
Publisher: The Institution of Engineering and Technology
URL: http://dx.doi.org/10.1049/iet-spr.2009.0019
DOI: 10.1049/iet-spr.2009.0019
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