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

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 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 - 1 Jan 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

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Robust maximum likelihood source localization by exploiting predictable acoustic modes",

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.",

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

year = "1996",

month = jan,

day = "1",

language = "English",

volume = "6",

pages = "3089--3091",

journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers",

note = "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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TY - JOUR

T1 - Robust maximum likelihood source localization by exploiting predictable acoustic modes

AU - Tabrikian, Joseph

AU - Krolik, Jeffrey L.

AU - Messer, Hagit

PY - 1996/1/1

Y1 - 1996/1/1

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/0029725814

M3 - Conference article

AN - SCOPUS:0029725814

SN - 0736-7791

VL - 6

SP - 3089

EP - 3091

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6)

Y2 - 7 May 1996 through 10 May 1996

ER -

Robust maximum likelihood source localization by exploiting predictable acoustic modes

Abstract

ASJC Scopus subject areas

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