Self-initiating MUSIC-based direction finding in underwater acoustic particle velocity-field beamspace

Kainam Thomas Wong, M. D. Zoltowski

Research output: Journal article publicationJournal articleAcademic researchpeer-review

154 Citations (Scopus)

Abstract

This paper introduces a novel blind MUSIC-based (MUltiple Signal Classification) source localization algorithm applicable to an arbitrarily spaced three-dimensional array of vector hydrophones, each of which comprises two or more co-located and orthogonally oriented velocity hydrophones plus an optional pressure hydrophone. This proposed algorithm: 1) exploits the incident sources' angular diversity in the underwater acoustic particle velocity field; 2) adaptively forms velocity-field beams at each vector-hydrophone; 3) uses ESPRIT to self-generate coarse estimates of the sources' arrival angles to start off its MUSIC-based iterative search with no a priori source information; and 4) automatically pairs the x-axis direction-cosine estimates with the y-axis direction-cosine estimates. Simulation results verify the efficacy of this proposed scheme.
Original languageEnglish
Pages (from-to)262-273
Number of pages12
JournalIEEE Journal of Oceanic Engineering
Volume25
Issue number2
DOIs
Publication statusPublished - 1 Apr 2000
Externally publishedYes

ASJC Scopus subject areas

  • Ocean Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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