Turbo Equalization Using Partial Gaussian Approximation

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

Publikation: Bidrag til tidsskriftLetterForskningpeer review

2 Citationer (Scopus)

Resumé

This letter deals with turbo equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation propagation rule to convert messages passed from the demodulator and decoder to the equalizer and computes messages returned by the equalizer by using a partial Gaussian approximation (PGA). We exploit the specific structure of the ISI channel model to compute the latter messages from the beliefs obtained using a Kalman smoother/equalizer. Doing so leads to a significant complexity reduction compared to the initial PGA implementation. Results from Monte Carlo simulations show that the proposed approach leads to a significant performance improvement compared to state-of-the-art turbo equalizers and allows for trading performance with complexity.
OriginalsprogEngelsk
TidsskriftI E E E Signal Processing Letters
Vol/bind23
Udgave nummer9
Sider (fra-til)1216-1220
ISSN1070-9908
DOI
StatusUdgivet - 16 jun. 2016

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Turbo Equalization
Gaussian Approximation
Equalizer
Equalizers
Partial
Intersymbol Interference
Intersymbol interference
Interference Channel
Message-passing Algorithms
Demodulators
Channel Model
Message passing
Data Transmission
Data communication systems
Convert
Monte Carlo Simulation
Propagation

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    Zhang, Chuanzong ; Wang, Zhongyong ; Manchón, Carles Navarro ; Sun, Peng ; Guo, Quinghua ; Fleury, Bernard Henri. / Turbo Equalization Using Partial Gaussian Approximation. I: I E E E Signal Processing Letters. 2016 ; Bind 23, Nr. 9. s. 1216-1220.
    @article{2af1fe8f82de4019b715c54c6f8d85f5,
    title = "Turbo Equalization Using Partial Gaussian Approximation",
    abstract = "This letter deals with turbo equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation propagation rule to convert messages passed from the demodulator and decoder to the equalizer and computes messages returned by the equalizer by using a partial Gaussian approximation (PGA). We exploit the specific structure of the ISI channel model to compute the latter messages from the beliefs obtained using a Kalman smoother/equalizer. Doing so leads to a significant complexity reduction compared to the initial PGA implementation. Results from Monte Carlo simulations show that the proposed approach leads to a significant performance improvement compared to state-of-the-art turbo equalizers and allows for trading performance with complexity.",
    keywords = "turbo equalization, Message passing, partial Gaussian approximation (PGA)",
    author = "Chuanzong Zhang and Zhongyong Wang and Manch{\'o}n, {Carles Navarro} and Peng Sun and Quinghua Guo and Fleury, {Bernard Henri}",
    year = "2016",
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    Turbo Equalization Using Partial Gaussian Approximation. / Zhang, Chuanzong; Wang, Zhongyong; Manchón, Carles Navarro; Sun, Peng; Guo, Quinghua; Fleury, Bernard Henri.

    I: I E E E Signal Processing Letters, Bind 23, Nr. 9, 16.06.2016, s. 1216-1220.

    Publikation: Bidrag til tidsskriftLetterForskningpeer review

    TY - JOUR

    T1 - Turbo Equalization Using Partial Gaussian Approximation

    AU - Zhang, Chuanzong

    AU - Wang, Zhongyong

    AU - Manchón, Carles Navarro

    AU - Sun, Peng

    AU - Guo, Quinghua

    AU - Fleury, Bernard Henri

    PY - 2016/6/16

    Y1 - 2016/6/16

    N2 - This letter deals with turbo equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation propagation rule to convert messages passed from the demodulator and decoder to the equalizer and computes messages returned by the equalizer by using a partial Gaussian approximation (PGA). We exploit the specific structure of the ISI channel model to compute the latter messages from the beliefs obtained using a Kalman smoother/equalizer. Doing so leads to a significant complexity reduction compared to the initial PGA implementation. Results from Monte Carlo simulations show that the proposed approach leads to a significant performance improvement compared to state-of-the-art turbo equalizers and allows for trading performance with complexity.

    AB - This letter deals with turbo equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation propagation rule to convert messages passed from the demodulator and decoder to the equalizer and computes messages returned by the equalizer by using a partial Gaussian approximation (PGA). We exploit the specific structure of the ISI channel model to compute the latter messages from the beliefs obtained using a Kalman smoother/equalizer. Doing so leads to a significant complexity reduction compared to the initial PGA implementation. Results from Monte Carlo simulations show that the proposed approach leads to a significant performance improvement compared to state-of-the-art turbo equalizers and allows for trading performance with complexity.

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    KW - Message passing

    KW - partial Gaussian approximation (PGA)

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    JF - I E E E Signal Processing Letters

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