Bayesian coherent and incoherent matched-field localization and detection in the ocean
Zoi Heleni Michalopoulou, Andrew Pole, Ali Abdi
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.
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oceans Physics & Astronomy 100%
Ocean Arts & Humanities 95%
Localization Arts & Humanities 91%
central processing units Physics & Astronomy 46%
Receiver Operating Characteristic Arts & Humanities 45%
Sampler Arts & Humanities 19%
canyons Physics & Astronomy 17%
Michalopoulou, Z. H., Pole, A., & Abdi, A. (2019). Bayesian coherent and incoherent matched-field localization and detection in the ocean. Journal of the Acoustical Society of America, 146(6), 4812-4820. https://doi.org/10.1121/1.5138134
Michalopoulou, Zoi Heleni ; Pole, Andrew ; Abdi, Ali. / Bayesian coherent and incoherent matched-field localization and detection in the ocean. In: Journal of the Acoustical Society of America. 2019 ; Vol. 146, No. 6. pp. 4812-4820.
@article{3f87f64ecf2f4515beda2e4472155ad3,
title = "Bayesian coherent and incoherent matched-field localization and detection in the ocean",
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.",
author = "Michalopoulou, {Zoi Heleni} and Andrew Pole and Ali Abdi",
note = "Funding Information: This work was supported by the Office of Naval Research through Grant Nos. N000141612485 and N000141812125. Publisher Copyright: {\textcopyright} 2019 Acoustical Society of America.",
doi = "https://doi.org/10.1121/1.5138134",
journal = "The Journal of the Acoustical Society of America",
Michalopoulou, ZH, Pole, A & Abdi, A 2019, 'Bayesian coherent and incoherent matched-field localization and detection in the ocean', Journal of the Acoustical Society of America, vol. 146, no. 6, pp. 4812-4820. https://doi.org/10.1121/1.5138134
Bayesian coherent and incoherent matched-field localization and detection in the ocean. / Michalopoulou, Zoi Heleni; Pole, Andrew; Abdi, Ali.
T1 - Bayesian coherent and incoherent matched-field localization and detection in the ocean
AU - Michalopoulou, Zoi Heleni
AU - Pole, Andrew
AU - Abdi, Ali
N1 - Funding Information: This work was supported by the Office of Naval Research through Grant Nos. N000141612485 and N000141812125. Publisher Copyright: © 2019 Acoustical Society of America.
N2 - 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.
AB - 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.
U2 - https://doi.org/10.1121/1.5138134
DO - https://doi.org/10.1121/1.5138134
JO - The Journal of the Acoustical Society of America
JF - The Journal of the Acoustical Society of America
Michalopoulou ZH, Pole A, Abdi A. Bayesian coherent and incoherent matched-field localization and detection in the ocean. Journal of the Acoustical Society of America. 2019 Dec 1;146(6):4812-4820. https://doi.org/10.1121/1.5138134