Optimal adaptive transmit beamforming for cognitive MIMO sonar in a shallow water waveguide

Nathan Sharaga, Joseph Tabrikian

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

11 Scopus citations

Abstract

This paper addresses the problem of adaptive beamforming for target localization by active cognitive multiple-input multiple-output (MIMO) sonar in a shallow water waveguide. Recently, a sequential waveform design approach for estimation of parameters of a linear system was proposed. In this approach, at each step, the transmit beampattern is determined based on previous observations. The criterion used for waveform design is the Bayesian Cramér-Rao bound (BCRB) for estimation of the unknown system parameters. In this paper, this method is used for target localization in a shallow water waveguide, and it is extended to account for environmental uncertainties which are typical to underwater acoustic environments. The simulations show the sensitivity of the localization performance of the method at different environmental prior uncertainties.

Original languageEnglish
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1960-1964
Number of pages5
ISBN (Electronic)9780992862619
StatePublished - 10 Nov 2014
Event22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal
Duration: 1 Sep 20145 Sep 2014

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference22nd European Signal Processing Conference, EUSIPCO 2014
Country/TerritoryPortugal
CityLisbon
Period1/09/145/09/14

Keywords

  • MIMO sonar
  • adaptive beamforming
  • cognitive sonar
  • sequential waveform design
  • underwater acoustics

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