Machine learning approaches for ray-based ocean acoustic tomography

Underwater sound propagation is primarily driven by a nonlinear forward model relating variability of the ocean sound speed profile (SSP) to the acoustic observations (e.g., eigenray arrival times). Ocean acoustic tomography (OAT) methods aim at reconstructing SSP variations (with respect to a refer...

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Veröffentlicht in:	The Journal of the Acoustical Society of America 2022-12, Vol.152 (6), p.3768-3788
Hauptverfasser:	Jin, Jihui, Saha, Priyabrata, Durofchalk, Nicholas, Mukhopadhyay, Saibal, Romberg, Justin, Sabra, Karim G.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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