Robust maximum likelihood source localization by exploiting predictable acoustic modes

Joseph Tabrikian, Jeffrey L. Krolik, Hagit Messer

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

This paper presents a robust Maximum-Likelihood estimator for matched-field source localization in the presence of uncertainties in the ocean environment. The method is based on a decomposition of the field into predictable and unpredictable subspaces of the acoustic normal mode representation. The performance of the method is evaluated and compared to other matched-field methods using simulations and acoustic array data from the Mediterranean Sea. The algorithm has superior probability of correct localization than the Maximum-Likelihood, Matched-Mode-Processing, and Bartlett methods.

Original languageEnglish
Pages (from-to)3089-3091
Number of pages3
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume6
StatePublished - 1 Jan 1996
Externally publishedYes
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: 7 May 199610 May 1996

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