A Double EP-Based Proposal for Turbo Equalization

This letter deals with the application of the expectation propagation (EP) algorithm to turbo equalization. The EP has been successfully applied to obtain either a better approximation at the output of the equalizer or at the output of the channel decoder to better initialize the Gaussian prior used...

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Bibliographic Details
Published in:IEEE signal processing letters 2020, Vol.27, p.121-125
Main Authors: Santos, Irene, Murillo-Fuentes, Juan Jose, Arias-de-Reyna, Eva
Format: Article
Language:English
Subjects:
Algorithms
Approximation algorithms
Computational complexity
Decoding
Equalization
Equalizers
Expectation propagation (EP)
Gaussian approximation
ISI
Kalman
Kalman filters
low-complexity
MMSE
Proposals
turbo equalization
Wiener
Wiener filtering
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Summary:This letter deals with the application of the expectation propagation (EP) algorithm to turbo equalization. The EP has been successfully applied to obtain either a better approximation at the output of the equalizer or at the output of the channel decoder to better initialize the Gaussian prior used by the equalizer. In this letter we combine both trends to propose a novel double EP-based equalizer that is able to decrease the number of iterations needed, reducing the computational complexity. This novel equalizer is presented in three different implementations: a block design that exploits the whole vector of observations, a Wiener filter-type approach that just uses the observations within a predefined window and a Kalman smoothing filter-type approach that emulates the BCJR behavior. Finally, we include some experimental results to compare the three different implementations and to illustrate their improvements with respect to other EP-based proposals in the literature.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2019.2959900