Trans-dimensional geoacoustic inversion of wind-driven ambient noise

Quijano, Jorge E.; Dosso, Stan E.; Dettmer, Jan; Zurk, Lisa M.; Siderius, Martin

doi:10.1121/1.4771975

Cited by 17 publications

(17 citation statements)

References 19 publications

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“…4,8 This is plausible as long as the behavior of the extrapolated coherence (or quantities derived from this coherence such as the seabed reflection coefficient input to inversion algorithms 8 ) can be predicted and accounted for in the forward model used in the inversion method. This can be accomplished by applying the PSF basis not only to the measured data (i.e., for extrapolation) but also to the coherence model 8 used to generate data replicas while searching the parameter space during execution of the inversion algorithm.…”

Section: Discussionmentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8] The noise field is normally measured at a vertical line array (VLA), and the resolution of geoacoustic parameters inferred from such data is strongly affected by the array aperture. This paper describes a technique to extend the aperture of a VLA by extrapolating the noise coherence measured at an N-element VLA to approximate the coherence of an effective N e -element VLA where N e > N with the same element spacing.…”

Section: Introductionmentioning

confidence: 99%

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Coherence extrapolation for underwater ambient noise

Quijano

Dosso

Siderius

et al. 2014

The Journal of the Acoustical Society of America

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This paper considers extrapolation of the vertical coherence of surface-generated oceanic ambient noise to simulate measurements made on a longer sensor array. The extrapolation method consists of projecting the noise coherence measured with a limited aperture array into the domain spanned by prolate spheroidal wave functions, which are an orthogonal basis defined by array parameters and the noise frequency. Using simulated data corresponding to selected multi-layered seabeds as ground truth, the performance of the extrapolation method is explored. Application of the technique is also demonstrated on experimental data.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coherence extrapolation for underwater ambient noise

Quijano

Dosso

Siderius

et al. 2014

The Journal of the Acoustical Society of America

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“…32 Both BL (Refs. [33][34][35] and reflection coefficients 16,36 have been applied in geoacoustic inversion. The choice to use BL instead of jRj is made here because BL is more sensitive to the small reflection amplitudes near the angle of intromission for low sound speed sediments.…”

Section: Forward Modelmentioning

confidence: 99%

A trans-dimensional polynomial-spline parameterization for gradient-based geoacoustic inversion

Steininger

Dosso

Holland

et al. 2014

The Journal of the Acoustical Society of America

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This paper presents a polynomial spline-based parameterization for trans-dimensional geoacoustic inversion. The parameterization is demonstrated for both simulated and measured data and shown to be an effective method of representing sediment geoacoustic profiles dominated by gradients, as typically occur, for example, in muddy seabeds. Specifically, the spline parameterization is compared using the deviance information criterion (DIC) to the standard stack-of-homogeneous layers parameterization for the inversion of bottom-loss data measured at a muddy seabed experiment site on the Malta Plateau. The DIC is an information criterion that is well suited to trans-D Bayesian inversion and is introduced to geoacoustics in this paper. Inversion results for both parameterizations are in good agreement with measurements on a sediment core extracted at the site. However, the spline parameterization more accurately resolves the power-law like structure of the core density profile and provides smaller overall uncertainties in geoacoustic parameters. In addition, the spline parameterization is found to be more parsimonious, and hence preferred, according to the DIC. The trans-dimensional polynomial spline approach is general, and applicable to any inverse problem for gradient-based profiles. [Work supported by ONR.].

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“…2) Trans-dimensional (trans-D) Bayesian inversion with parallel tempering 10 was used for geoacoustic parameter estimation from BL data derived from ambient-noise 11 . To gain insight into the algorithm's performance, the trans-D method was first applied to simulated data computed for a realistic seabed consisting of smooth variations in sound speed and density as a function of depth.…”

Section: Work Completedmentioning

confidence: 99%

Bayesian Ambient Noise Inversion for Geoacoustic Uncertainty Estimation

Quijano¹,

Dosso²,

Dettmer³

et al. 2012

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Estimation of seabed geoacoustic parameters in shallow water by remote sensing remains a challenging task due to constraints on hardware, data collection and analysis, and cost of maritime surveys. This work focuses on the application of two techniques that might offer a solution to those constraints: the use of ambient noise to probe the seabed, and Bayesian inversion of these data to estimate geoacoustic parameters of interest together with their uncertainties. The long-term goal of this work is to establish general methods for processing and inverting ambient noise data and assessing the quality of the results by quantifying their uncertainties. OBJECTIVESThis work has three main objectives: first, quantifying the ability to resolve seabed geoacoustic parameters using ambient noise measurements. Second, comparing those estimates to the ones obtained from active source inversion methods. Third, considering the effect of uncertainties on Report Documentation Page Form Approved OMB No. 0704-0188Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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Trans-dimensional geoacoustic inversion of wind-driven ambient noise

Cited by 17 publications

References 19 publications

Coherence extrapolation for underwater ambient noise

Coherence extrapolation for underwater ambient noise

A trans-dimensional polynomial-spline parameterization for gradient-based geoacoustic inversion

Bayesian Ambient Noise Inversion for Geoacoustic Uncertainty Estimation

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