Improved message passing algorithm for phase noise channels using optimal approximation of Tikhonov mixtures

Shachar Shayovitz, Dan Raphaeli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we propose an improved message passing algorithm for the phase noise channel. We assume LDPC or Turbo coding and utilize their soft decisions to perform joint detection and estimation of the phase noise. We use the directional statistics framework to approximate the messages of the Sum & Product Algorithm to a Tikhonov distribution. Finally, we show simulation results of the proposed algorithm and show its superiority over some of the current state of the art algorithms.

Original languageEnglish
Title of host publication5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012
DOIs
StatePublished - 2012
Event5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012 - Rome, Italy
Duration: 2 May 20124 May 2012

Publication series

Name5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012

Conference

Conference5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012
Country/TerritoryItaly
CityRome
Period2/05/124/05/12

Keywords

  • Tikhonov
  • directional statistics
  • factor graph
  • moment matching
  • phase noise
  • phase slip

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