sirOb: an interactive package for inversion of parametric sonar data

Caiti, Andrea; Zoppoli, R.

doi:10.1109/oceans.1998.726259

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…A block diagram of the inversion algorithm is reported in figure 11. Simulation results obtained as a 'sanity check' of the estimation algorithm have been reported in [21]; implementation details have been given in [22]; the number N of different bottom realizations whose wavelet-transform average is employed in equation ( 16) has usually been kept to a small value, providing good results with synthetic data.…”

Section: Distance Along Track (M)mentioning

confidence: 99%

“…The approach relies on the use of a parametric sonar as the sound source; on a model of seafloor backscattering based on the Kirchhoff approximation for the surface scattering and on the small perturbation theory for the volume scattering; and on a model-based estimation method in which the discrepancy between measured data and the model prediction is evaluated in a generalized time-frequency domain and minimized as a function of the bottom parameters. Partial results from this line of work have been reported in [20][21][22] (for model-based estimation) and [15,16] (for modelling of backscattering). In this paper a comprehensive account of the method is given, the interplay between the three system components is emphasized and the overall range of validity of the approach is discussed.…”

Section: Introductionmentioning

confidence: 99%

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Parametric sonars for seafloor characterization

Caiti

Bergem

Dybedal³

1999

Meas. Sci. Technol.

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Parametric sonars are instruments capable of transmitting acoustic signals in the water with a very narrow beam and almost no sidelobes. These features are exploited in this paper to define a methodology for quantitative estimation of the geo-acoustic and morphological properties of the uppermost seafloor sediment layer. The three major components of the approach are the parametric instrument itself; the modelling of the forward-propagation problem, with the use of the Kirchhoff approximation for surface scattering and of the small-perturbation theory for the volume scattering; and the definition of a criterion for comparison between data and model predictions, which is accomplished by a generalized time-frequency analysis. In this way the estimation becomes one of a model-based identification, or a model-based inverse problem. Results from a field trial in a shallow water area of the Mediterranean are shown, and compared with independently gathered ground truth.

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Section: Distance Along Track (M)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parametric sonars for seafloor characterization

Caiti

Bergem

Dybedal³

1999

Meas. Sci. Technol.

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Seafloor Properties Determination from Acoustic Backscattering at Normal Incidence with a Parametric Source

Caiti¹

2000

Journal of Computational Acoustics

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Characterization of the seafloor using normal incidence acoustic backscattered time domain signals from a parametric sonar

Berntsen

Hovem²,

Bergem³

Oceans '99. MTS/IEEE. Riding the Crest Into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.9

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Abstmct-For both military and civilian applications, a detailed knowledge of the upper part of the seabed is important. Remote sensing using sonar systems is one way t o obtain this knowledge. In order to carry out a robust characterization or classifleation, we argue that a model based scheme should he used. This way the environmental eonditions and the actual sonar systems are part of the processing chain, and parameters like water depth, heam-width and frequency can be properly accounted for.The utilized characterization method is based on properties of the coherent backscattered time signal from the seafloor surface. The analytical background for the approach is described. Estimates of the seafloor roughness can he found from the apparent frequency shift in the data. Estimates of the impedance of the seafloor can then he found, by using the energy of the signal and the estimated roughness. The coherent part of the signal is improved by stacking the time series, and further suppressing of the volume part of the return is done hy u s e of a window.Results from applying the method to both synthetic and fleld data are presented, a s well a s sensitivity analysis for roughness.

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sirOb: an interactive package for inversion of parametric sonar data

Cited by 3 publications

References 2 publications

Parametric sonars for seafloor characterization

Parametric sonars for seafloor characterization

Seafloor Properties Determination from Acoustic Backscattering at Normal Incidence with a Parametric Source

Characterization of the seafloor using normal incidence acoustic backscattered time domain signals from a parametric sonar

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