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)


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
Issue number9
Pages (from-to)1216-1220
Publication statusPublished - 16 Jun 2016


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

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