Turbo equalization using partial Gaussian approximation

Authors

Chuanzong Zhang, Zhengzhou University
Zhongyong Wang, Zhengzhou University
Carles Navarro Manchon, Aalborg University
Peng Sun, Zhengzhou University
Qinghua Guo, University of Wollongong
Bernard Henri Fleury, Aalborg University

RIS ID

109542

Publication Details

C. Zhang, Z. Wang, C. Navarro. Manchon, P. Sun, Q. Guo & B. Henri. Fleury, "Turbo equalization using partial Gaussian approximation," IEEE Signal Processing Letters, vol. 23, (9) pp. 1216-1220, 2016.

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.