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Roughness influence on multibeam-subbottom-profiler specular echoes and roughness parameter inversion.
Samuel Pinson1, Charles W Holland2, Yann Stéphan1
1Shom, 13 rue du Châtellier, 29228 Brest Cedex 2, France.
This study integrates source and receiver directivity for wave scattering over rough surfaces, providing clear physical interpretations. Derived covariances and variances aid in extracting surface roughness parameters.
Area of Science:
- Oceanography
- Acoustics
- Wave Scattering
Background:
- Wave scattering models often omit source and receiver directivity.
- Integrating directivity provides clearer physical interpretations of scattering phenomena.
Purpose of the Study:
- To develop integral solutions for wave scattering over slightly rough surfaces that incorporate source and receiver directivity.
- To derive spatial covariances and variances for specular echoes in a multibeam-subbottom-profiler configuration.
- To establish a method for extracting surface roughness parameters.
Main Methods:
- Integrating point source and point receiver solutions over source and receiver apertures.
- Deriving scintillation, time-of-arrival, and direction-of-arrival spatial covariances.
- Obtaining algebraic expressions for variances with Gaussian autocorrelation and apodization functions.
- Numerical evaluation of surface integrals and comparison with 3D numerical experiments.
Main Results:
- Integral solutions with clear physical interpretations were achieved by incorporating directivity.
- Surface integrals for covariances were derived and numerically evaluated.
- Algebraic expressions for variances were obtained for specific roughness and array functions.
- Numerical results closely matched estimates from a realistic 3D numerical experiment.
Conclusions:
- The integration of source and receiver directivity offers a physically interpretable approach to wave scattering.
- The derived covariances and variances are applicable to multibeam-subbottom-profiler systems.
- A simple inversion scheme effectively extracts roughness parameters from experimental signals.
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