Iterative Receiver Design for ISI Channels Using Combined Belief- and Expectation-Propagation

Peng Sun, Chuanzong Zhang, Zhongyong Wang, Carles Navarro Manchón, Bernard Henri Fleury

Research output: Contribution to journalLetterResearchpeer-review

19 Citations (Scopus)
561 Downloads (Pure)

Abstract

In this letter, a message-passing algorithm that combines belief propagation and expectation propagation is applied to design an iterative receiver for intersymbol interference channels. We detail the derivation of the messages passed along the nodes of a vector-form factor graph representing the underlying probabilistic model. We also present a simple but efficient method to cope with the "negative variance" problem of expectation propagation. Simulation results show that the proposed algorithm outperforms, in terms of bit-error-rate and convergence rate, a LMMSE turbo-equalizer based on Gaussian message passing with the same order of computational complexity.
Original languageEnglish
JournalI E E E Signal Processing Letters
Volume22
Issue number10
Pages (from-to)1733 - 1737
ISSN1070-9908
DOIs
Publication statusPublished - 19 Feb 2015

Keywords

  • Belief Propagation
  • Expectation Propagation
  • Turbo Equalization

Fingerprint Dive into the research topics of 'Iterative Receiver Design for ISI Channels Using Combined Belief- and Expectation-Propagation'. Together they form a unique fingerprint.

  • Cite this