Iterative multi-channel equalization and decoding for high frequency underwater acoustic communications

Won Choi Jun, Robert J. Drost, Andrew C. Singer, James Preisig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, an iterative multi-channel equalization and decoding technique is introduced to improve system performance in underwater acoustic communications. The turbo principle is applied to the existing canonical receiver structure including fractionally spaced decision feedback equalization with phase synchronization. The performance of multi-channel equalization and adaptive weight update algorithms are aided by son information delivered from the channel decoder. The complexity of the proposed scheme is shown to be reasonable for highly reverberant underwater channels since it has linear complexity by the use of the least mean square (LMS) algorithm. Experimental results for data transmission at 41.67k symbol/s with a carrier frequency of 100k Hz demonstrate the feasibility of the proposed algorithm.

Original languageEnglish (US)
Title of host publicationSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Pages127-130
Number of pages4
DOIs
StatePublished - Oct 6 2008
EventSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop - Darmstadt, Germany
Duration: Jul 21 2008Jul 23 2008

Publication series

NameSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

Other

OtherSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Country/TerritoryGermany
CityDarmstadt
Period7/21/087/23/08

Keywords

  • Equalization
  • Iterative
  • Lms
  • Turbo
  • Underwater

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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