Transdimensional Inversion on the New England Mud Patch Using High-Order Modes

Bonnel, Julien; Dosso, Stan E.; Knobles, David P.; Wilson, Preston S.

doi:10.1109/joe.2021.3075824

Cited by 11 publications

(18 citation statements)

References 41 publications

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“…More specifically, the experimental track chosen here (see Fig. 2) largely overlaps with previous trans-D inversion studies of modal dispersion data from SBCEX17 [17], [18]. Indeed, the experimental track (red line on Fig.…”

Section: A Experimental Areamentioning

confidence: 62%

“…As in previous studies [6], [17], [18], the modal dispersion data [( 2)] are used here as input for geoacoustic inversion. Doing so requires the TF data be properly estimated from the TOSSIT acoustic recordings.…”

Section: B Modal Dispersion Estimationmentioning

confidence: 99%

“…Trans-D methods have been described elsewhere [16], [22], [23], [24], including geoacoustic inversion of modal-dispersion data [17], [18], [25], [26], and are only briefly summarized here. Bayes' rule for a trans-D model over a set of K model choices, indexed by k with corresponding parameters m k , is given by…”

Section: Bayesian Inversion and Implementationmentioning

confidence: 99%

“…The tradeoff associated with the use of simple experimental assets is that data analysis requires advanced processing methods. Here, we suggest the use of warping data analysis [15] and trans-dimensional (trans-D) Bayesian inversion methods [16], the combination of which has been shown to be highly effective for single-hydrophone geoacoustic inversion [17], [18].…”

Section: Introductionmentioning

confidence: 99%

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Geoacoustic Inversion Using Simple Hand-Deployable Acoustic Systems

Bonnel

McNeese

Wilson

et al. 2023

IEEE J. Oceanic Eng.

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This article proposes the use of a simple, low-cost, hand-deployable pair of experimental assets to conduct geoacoustic inversion at sea. The system consists of an expendable, fully mechanical acoustic source called a rupture induced underwater sound source (RIUSS) and a new ropeless passive acoustic mooring called a TOSSIT (not an acronym). Used together, RIUSS and TOSSIT enable the collection of acoustic data suitable to perform single-hydrophone geoacoustic inversion. The method is illustrated using data collected on the New England Mud Patch in May 2021 from a relatively small (22 m) and inexpensive chartered fishing vessel. Modal time-frequency dispersion from 15 to 385 Hz is extracted from the TOSSIT/RIUSS data using warping, and used as input for Bayesian transdimensional geoacoustic inversion. The inversion results compare favorably to results obtained with data collected on the same track with traditional assets (e.g., a vertical line array) during the 2017 Seabed Characterization Experiment, even when jointly inverting for the water-column sound speed profile and seabed geoacoustic parameters. This further demonstrates inversion repeatability in a given location using data sets collected years apart, and under different (and potentially unknown) oceanographic conditions.

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Section: A Experimental Areamentioning

confidence: 62%

Section: B Modal Dispersion Estimationmentioning

confidence: 99%

Section: Bayesian Inversion and Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Geoacoustic Inversion Using Simple Hand-Deployable Acoustic Systems

Bonnel

McNeese

Wilson

et al. 2023

IEEE J. Oceanic Eng.

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“…input data for environmental inversion (e.g., Bonnel et al, 2021;Potty et al, 2000). However, Stokes parameters are clearly more sensitive to environmental changes.…”

Section: B Examplementioning

confidence: 99%

Polarization of ocean acoustic normal modes

Bonnel

Flamant

Dall’Osto

et al. 2021

The Journal of the Acoustical Society of America

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In ocean acoustics, shallow water propagation is conveniently described using normal mode propagation. This article proposes a framework to describe the polarization of normal modes, as measured using a particle velocity sensor in the water column. To do so, the article introduces the Stokes parameters, a set of four real-valued quantities widely used to describe polarization properties in wave physics, notably for light. Stokes parameters of acoustic normal modes are theoretically derived, and a signal processing framework to estimate them is introduced. The concept of the polarization spectrogram, which enables the visualization of the Stokes parameters using data from a single vector sensor, is also introduced. The whole framework is illustrated on simulated data as well as on experimental data collected during the 2017 Seabed Characterization Experiment. By introducing the Stokes framework used in many other fields, the article opens the door to a large set of methods developed and used in other contexts but largely ignored in ocean acoustics. V

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Wave reflection and transmission in seawater-unconsolidated-consolidated sediment models based on VGS(λ) and Biot theories

Lou,

Tian,

2024

Ocean Engineering

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Transdimensional Inversion on the New England Mud Patch Using High-Order Modes

Cited by 11 publications

References 41 publications

Geoacoustic Inversion Using Simple Hand-Deployable Acoustic Systems

Geoacoustic Inversion Using Simple Hand-Deployable Acoustic Systems

Polarization of ocean acoustic normal modes

Wave reflection and transmission in seawater-unconsolidated-consolidated sediment models based on VGS(λ) and Biot theories

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