Iterative Receiver Design for ISI Channels Using Combined Belief- and Expectation-Propagation

Peng Sun, Chuanzong Zhang, Zhongyong Wang, Carles Navarro Manchón, Bernard Henri Fleury

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17 Citationer (Scopus)
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Resumé

In this letter, a message-passing algorithm that combines belief propagation and expectation propagation is applied to design an iterative receiver for intersymbol interference channels. We detail the derivation of the messages passed along the nodes of a vector-form factor graph representing the underlying probabilistic model. We also present a simple but efficient method to cope with the "negative variance" problem of expectation propagation. Simulation results show that the proposed algorithm outperforms, in terms of bit-error-rate and convergence rate, a LMMSE turbo-equalizer based on Gaussian message passing with the same order of computational complexity.
OriginalsprogEngelsk
TidsskriftI E E E Signal Processing Letters
Vol/bind22
Udgave nummer10
Sider (fra-til)1733 - 1737
ISSN1070-9908
DOI
StatusUdgivet - 19 feb. 2015

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Message passing
Receiver
Propagation
Message-passing Algorithms
Factor Graph
Intersymbol Interference
Intersymbol interference
Interference Channel
Belief Propagation
Equalizer
Form Factors
Equalizers
Message Passing
Probabilistic Model
Bit error rate
Error Rate
Convergence Rate
Computational complexity
Computational Complexity
Vertex of a graph

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    Citer dette

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    title = "Iterative Receiver Design for ISI Channels Using Combined Belief- and Expectation-Propagation",
    abstract = "In this letter, a message-passing algorithm that combines belief propagation and expectation propagation is applied to design an iterative receiver for intersymbol interference channels. We detail the derivation of the messages passed along the nodes of a vector-form factor graph representing the underlying probabilistic model. We also present a simple but efficient method to cope with the {"}negative variance{"} problem of expectation propagation. Simulation results show that the proposed algorithm outperforms, in terms of bit-error-rate and convergence rate, a LMMSE turbo-equalizer based on Gaussian message passing with the same order of computational complexity.",
    keywords = "Belief Propagation, Expectation Propagation, Turbo Equalization",
    author = "Peng Sun and Chuanzong Zhang and Zhongyong Wang and Manch{\'o}n, {Carles Navarro} and Fleury, {Bernard Henri}",
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    Iterative Receiver Design for ISI Channels Using Combined Belief- and Expectation-Propagation. / Sun, Peng; Zhang, Chuanzong; Wang, Zhongyong; Manchón, Carles Navarro; Fleury, Bernard Henri.

    I: I E E E Signal Processing Letters, Bind 22, Nr. 10, 19.02.2015, s. 1733 - 1737.

    Publikation: Bidrag til tidsskriftLetterForskningpeer review

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    T1 - Iterative Receiver Design for ISI Channels Using Combined Belief- and Expectation-Propagation

    AU - Sun, Peng

    AU - Zhang, Chuanzong

    AU - Wang, Zhongyong

    AU - Manchón, Carles Navarro

    AU - Fleury, Bernard Henri

    PY - 2015/2/19

    Y1 - 2015/2/19

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