Robust maximum likelihood source localization by exploiting predictable acoustic modes

Joseph Tabrikian; Jeffrey L. Krolik; Hagit Messer

Robust maximum likelihood source localization by exploiting predictable acoustic modes

Joseph Tabrikian, Jeffrey L. Krolik, Hagit Messer

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	3089-3091
Number of pages	3
Journal	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume	6
State	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: 7 May 1996 → 10 May 1996

Cite this

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author = "Joseph Tabrikian and Krolik, {Jeffrey L.} and Hagit Messer",

note = "Copyright: Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.; Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) ; Conference date: 07-05-1996 Through 10-05-1996",

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AB - 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.

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Y2 - 7 May 1996 through 10 May 1996

ER -

Robust maximum likelihood source localization by exploiting predictable acoustic modes

Abstract

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