Turbo Equalization Using Partial Gaussian Approximation

Zhang, Chuanzong

doi:10.1109/LSP.2016.2581841

Turbo Equalization Using Partial Gaussian Approximation

2016-09-01

3

OA

AI

Carles Navarro Manchón

Fleury, Bernard Henri

DOI：10.1109/LSP.2016.2581841

Original

Original request for help

Save

Abstract

En 中文

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:

Message passing

partial Gaussian approximation (PGA)

turbo equalization

Turbo Equalization Using Partial Gaussian Approximation

Abstract

Journal

Organization