Turbo Equalization Using Partial Gaussian Approximation

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

Research output: Contribution to journalLetterResearchpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
JournalI E E E Signal Processing Letters
Volume23
Issue number9
Pages (from-to)1216-1220
ISSN1070-9908
DOIs
Publication statusPublished - 16 Jun 2016

Fingerprint

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

Keywords

  • turbo equalization
  • Message passing
  • partial Gaussian approximation (PGA)

Cite this

Zhang, Chuanzong ; Wang, Zhongyong ; Manchón, Carles Navarro ; Sun, Peng ; Guo, Quinghua ; Fleury, Bernard Henri. / Turbo Equalization Using Partial Gaussian Approximation. In: I E E E Signal Processing Letters. 2016 ; Vol. 23, No. 9. pp. 1216-1220.
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Turbo Equalization Using Partial Gaussian Approximation. / Zhang, Chuanzong; Wang, Zhongyong; Manchón, Carles Navarro; Sun, Peng; Guo, Quinghua; Fleury, Bernard Henri.

In: I E E E Signal Processing Letters, Vol. 23, No. 9, 16.06.2016, p. 1216-1220.

Research output: Contribution to journalLetterResearchpeer-review

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T1 - Turbo Equalization Using Partial Gaussian Approximation

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AU - Wang, Zhongyong

AU - Manchón, Carles Navarro

AU - Sun, Peng

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AU - Fleury, Bernard Henri

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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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