Inversion of seabed attenuation using time-warping of close range data

Zeng, Juan; Chapman, N. Ross; Bonnel, Julien

doi:10.1121/1.4822421

Cited by 37 publications

(11 citation statements)

References 7 publications

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“…Warping has notably been used for environmental estimation studies, mostly seabed geoacoustic inversion (Bonnel et al, 2013a;Bonnel et al, 2019;Bonnel et al, 2012;Dong et al, 2017;Duan et al, 2016;Feng-Hua et al, 2014;Petrov, 2014;Zeng et al, 2013), but also water column tomography (Ballard et al, 2014), as well as joint estimation of water column and seabed properties (Warner et al, 2015). On a more basic research point of view, it is interesting to note that warping has also been used to estimate modal depth functions Thode and Bonnel, 2015), as well as to filter modes from noise interferometry data (Sergeev et al, 2017;Tan et al, 2018).…”

Section: Warping In Ocean Acousticsmentioning

confidence: 99%

Nonlinear time-warping made simple: A step-by-step tutorial on underwater acoustic modal separation with a single hydrophone

Bonnel

Thode

Wright

et al. 2020

The Journal of the Acoustical Society of America

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Classical ocean acoustic experiments involve the use of synchronized arrays of sensors. However, the need to cover large areas and/or the use of small robotic platforms has evoked interest in single-hydrophone processing methods for localizing a source or characterizing the propagation environment. One such processing method is “warping,” a non-linear, physics-based signal processing tool dedicated to decomposing multipath features of low-frequency transient signals (frequency f < 500 Hz), after their propagation through shallow water (depth D < 200 m) and their reception on a distant single hydrophone (range r > 1 km). Since its introduction to the underwater acoustics community in 2010, warping has been adopted in the ocean acoustics literature, mostly as a pre-processing method for single receiver geoacoustic inversion. Warping also has potential applications in other specialties, including bioacoustics; however, the technique can be daunting to many potential users unfamiliar with its intricacies. Consequently, this tutorial article covers basic warping theory, presents simulation examples, and provides practical experimental strategies. Accompanying supplementary material provides matlab code and simulated and experimental datasets for easy implementation of warping on both impulsive and frequency-modulated signals from both biotic and man-made sources. This combined material should provide interested readers with user-friendly resources for implementing warping methods into their own research.

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Section: Warping In Ocean Acousticsmentioning

confidence: 99%

Nonlinear time-warping made simple: A step-by-step tutorial on underwater acoustic modal separation with a single hydrophone

Bonnel

Thode

Wright

et al. 2020

The Journal of the Acoustical Society of America

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“…Previous studies have used a mode warping technique to improve the modal TF resolution from impulsive sources such as imploding light bulbs or explosive charges measured at close range. [2][3][4][5][6] Mode warping is a nonlinear resampling technique that transforms dispersive modes into constant-frequency tones. A band-pass filter can then be used to isolate individual modes and the filtered signal transformed back into the time domain.…”

Section: Theorymentioning

confidence: 99%

“…This warping function was found suitable for low-frequency modes in several shallow-water environments despite violations of the ideal waveguide assumption. [2][3][4][5][6] A suitable value for the ratio r/c w can be determined empirically by observing when modes become constant-frequency tones in a spectrogram of q. The warped pulse is filtered for each of M modes and unwarped, resulting in M mono-component signals p m (t).…”

Section: Theorymentioning

confidence: 99%

“…Short-range measurements are less susceptible to rangedependent effects and have higher bandwidth but TF resolution limitations can degrade estimates of mode arrival times. Recent studies have used mode-warping techniques to improve the TF resolution of modal arrival times for closerange dispersion measurements [2][3][4][5][6] and this approach is used here. Fourier series or variations thereof 7 are then used for the TF representations but the inherent side lobes (leakage) from Fourier transforms means that correlated errors can exist between arrival times for adjacent frequencies.…”

Section: Introductionmentioning

confidence: 99%

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Bayesian environmental inversion of airgun modal dispersion using a single hydrophone in the Chukchi Sea

Warner

Dosso

Dettmer

et al. 2015

The Journal of the Acoustical Society of America

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This paper presents estimated water-column and seabed parameters and uncertainties for a shallow-water site in the Chukchi Sea, Alaska, from trans-dimensional Bayesian inversion of the dispersion of water-column acoustic modes. Pulse waveforms were recorded at a single ocean-bottom hydrophone from a small, ship-towed airgun array during a seismic survey. A warping dispersion time-frequency analysis is used to extract relative mode arrival times as a function of frequency for source-receiver ranges of 3 and 4 km which are inverted for the water sound-speed profile (SSP) and subbottom geoacoustic properties. The SSP is modeled using an unknown number of sound-speed/depth nodes. The subbottom is modeled using an unknown number of homogeneous layers with unknown thickness, sound speed, and density, overlying a halfspace. A reversible-jump Markov-chain Monte Carlo algorithm samples the model parameterization in terms of the number of water-column nodes and subbottom interfaces that can be resolved by the data. The estimated SSP agrees well with a measured profile, and seafloor sound speed is consistent with an independent headwave arrival-time analysis. Environmental properties are required to model sound propagation in the Chukchi Sea for estimating sound exposure levels and environmental research associated with marine mammal localization.

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“…Representative environmental parameters of the Yellow Sea,17 and test intervals of each parameter for sensitivity test.…”

mentioning

confidence: 99%

Characteristic Acoustic Impedance for Reliable Environmental Characterization

Ren

et al. 2019

J. Theor. Comp. Acout.

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The characteristic acoustic impedance is a favorable observation variable for geoacoustic inversion (GI) owing to its higher sensitivity than that of pressure or particle velocity. However, no theoretical explanations have been provided for it. As an attempt to understand the underlying physical mechanism, interpretations based on the normal mode theory are conducted in this study. Moreover, synthetic Bayesian geoacoustic inversion with two recording scenarios of a vertical line array and single receiver are also performed, both of which proved that the impedance can provide improved estimation.

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Inversion of seabed attenuation using time-warping of close range data

Cited by 37 publications

References 7 publications

Nonlinear time-warping made simple: A step-by-step tutorial on underwater acoustic modal separation with a single hydrophone

Nonlinear time-warping made simple: A step-by-step tutorial on underwater acoustic modal separation with a single hydrophone

Bayesian environmental inversion of airgun modal dispersion using a single hydrophone in the Chukchi Sea

Characteristic Acoustic Impedance for Reliable Environmental Characterization

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