Bayesian coherent and incoherent matched-field localization and detection in the ocean

Document Type

Article

Publication Date

12-1-2019

Abstract

Matched-field processing is applied to source localization and detection of sound sources in the ocean. The source spectrum is included in the set of unknown parameters and is estimated in the localization/detection process. Bayesian broadband (multi-tonal) incoherent and coherent processors are developed, integrating the source spectrum estimation using a Gibbs sampler and are first evaluated in source localization via point estimates and probability density functions obtained from synthetic signals. The coherent performance is superior to the incoherent one both in terms of source location estimates and density spread. The two processors are also applied to real data from the Hudson Canyon experiment. Subsequently, using Receiver Operating Characteristic (ROC) curves, the two processors are evaluated and compared in the task of joint detection and localization. The coherent detector/localization processor is superior to the incoherent one, especially as the number of frequencies increases. Joint detection and localization performance is evaluated with Localization-ROC curves.

Identifier

85077359135 (Scopus)

Publication Title

Journal of the Acoustical Society of America

External Full Text Location

https://doi.org/10.1121/1.5138134

ISSN

00014966

PubMed ID

31893702

First Page

4812

Last Page

4820

Issue

6

Volume

146

Fund Ref

Office of Naval Research

This document is currently not available here.

Share

COinS