Turbo equalization using partial Gaussian approximation



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.


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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