Kalman filter-based channel estimation for amplify and forward relay communications

Xiangyun Zhou*, Tharaka A. Lamahewa, Parastoo Sadeghi

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    21 Citations (Scopus)

    Abstract

    We propose an autoregressive model for the combined amplify and forward time-varying relay channel and derive a causal iterative channel estimation method using Kalman filter. This formulation enables us to study and compare two widely used pilot transmission strategies in terms of the channel estimation errors. We provide a single-letter formula for the power allocation between the source and relay to achieve near optimal bit error rate (BER) performance in dual-hop communications. For cooperative communications, we show that the relay speed has a significant impact on the BER performance, and hence is important to be considered in practical system design.

    Original languageEnglish
    Title of host publicationConference Record - 43rd Asilomar Conference on Signals, Systems and Computers
    Pages1498-1502
    Number of pages5
    DOIs
    Publication statusPublished - 2009
    Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
    Duration: 1 Nov 20094 Nov 2009

    Publication series

    NameConference Record - Asilomar Conference on Signals, Systems and Computers
    ISSN (Print)1058-6393

    Conference

    Conference43rd Asilomar Conference on Signals, Systems and Computers
    Country/TerritoryUnited States
    CityPacific Grove, CA
    Period1/11/094/11/09

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