Underwater acoustic communications using a-priori statistics on channel time-variations

Moshe Wasserblat, Joseph Tabrikian

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

2 Scopus citations

Abstract

This paper addresses the problem of underwater acoustic channel estimation for communications in time-varying environments. In the case of a rapidly time-varying environment, the channel needs to be estimated and tracked continuously. In this case, prior information on the channel can be used to improve channel estimation performance. In this paper, a-priori statistics on the channel time-variations are used in order to obtain a maximum a-posteriori estimator for channel tap-coefficients. It is also shown that in a shallow water waveguide, typical channel time-variations span a small subspace of channel tap-coefficients variations. This fact is used to reduce the number of parameters to be estimated and improve the channel estimation performance. The results demonstrate a performance gain of 5-10 dB in terms of the signal-to-noise ratio in decision-feedback equalizer mean-squared error, compared to the least-squares method which ignores the a-priori statistics on the channel time-variations.

Original languageEnglish
Title of host publicationCommunicationsSensor Array and Multichannel Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2689-2692
Number of pages4
ISBN (Electronic)0780362934
DOIs
StatePublished - 1 Jan 2000
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: 5 Jun 20009 Jun 2000

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Conference

Conference25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Country/TerritoryTurkey
CityIstanbul
Period5/06/009/06/00

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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