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Passive source depth discrimination in deep-water

Remi Emmetiere 1, 2 Julien Bonnel 3 Xavier Cristol 4 Marie Géhant 1 Thierry Chonavel 5, 6, 7
2 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
6 Lab-STICC_IMTA_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : This paper addresses the problem of passive source depth discrimination in ocean acoustics using a horizontal line array (HLA). The scope is restricted to low-frequency sources (frequency f < 500 Hz), broadband signals (bandwidth B of a few Hz), deep-water environment (water depth D > 1000 m), and distant sources (range r greater than several km) at the endfire position. In this context, the environment acts as a dispersive waveguide, and one should not use classical source localization methods based on plane waves or any other simplistic wave model. Instead, a method based on the modal behavior driving the propagation is proposed. It notably uses the concept of the waveguide invariant, a scalar that summarizes the waveguide dispersion. In deep water, the waveguide invariant largely depends on source depth, and thus is an interesting input for source depth discrimination. An algorithm is proposed to compute energy ratio in groups of modal interferences. The input data for the algorithm is a range-frequency intensity, as measured on a HLA. The modal interference groups are defined based on their respective waveguide invariant values which in turns depend on source depth. This idea is formalized to propose a source depth discrimination method, which is performed as a binary classification problem. As long as the sound speed profile features a surface thermocline, the algorithm does not require detailed knowledge about the environment and it allows the classification of sources under two hypotheses, above or under a user-chosen threshold depth.
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https://hal.archives-ouvertes.fr/hal-02084333
Contributeur : Thierry Chonavel <>
Soumis le : mardi 2 juillet 2019 - 16:49:32
Dernière modification le : mercredi 24 juin 2020 - 16:19:52

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Remi Emmetiere, Julien Bonnel, Xavier Cristol, Marie Géhant, Thierry Chonavel. Passive source depth discrimination in deep-water. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2019, 13 (1), pp.185-197. ⟨10.1109/JSTSP.2019.2899968⟩. ⟨hal-02084333⟩

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