A method of geo-acoustic parameter inversion in shallow sea by the Bayesian theory and the acoustic pressure field
Open Access
- 28 June 2019
- journal article
- research article
- Published by EDP Sciences in MATEC Web of Conferences
- Vol. 283, 06003
- https://doi.org/10.1051/matecconf/201928306003
Abstract
A method of geo-acoustic parameter inversion based on the Bayesian theory is proposed for the acquisition of acoustic parameters in shallow sea with the elastic seabed. Firstly, the theoretical prediction value of the sound pressure field is calculated by the fast field method (FFM). According to the Bayesian theory, we establish the misfit function between the measured sound pressure field and the theoretical pressure field. It is under the assumption of Gaussian data errors which are in line with the likelihood function. Finally, the posterior probability density (PPD) of parameters is given as the result of inversion. Our research is conducted in the light of Metropolis sample rules. Apart from numerical simulations, a scaled model experiment has been taken in the laboratory tank. The results of numerical simulations and tank experiments show that sound pressure field calculated by the result of inversion is consistent with the measured sound pressure field. Besides, s-wave velocities, p-wave velocities and seafloor density have fewer uncertainties and are more sensitive to complex sound pressure than s-wave attenuation and p-wave attenuation. The received signals calculated by inversion results are keeping with received signals in the experiment which verify the effectiveness of this method.Keywords
This publication has 6 references indexed in Scilit:
- Separability of seabed reflection and scattering properties in reverberation inversionThe Journal of the Acoustical Society of America, 2007
- Geoacoustic Uncertainties From Viscoelastic Inversion of Seabed Reflection DataIEEE Journal of Oceanic Engineering, 2006
- Uncertainty analysis in matched-field geoacoustic inversionsThe Journal of the Acoustical Society of America, 2006
- Data error covariance in matched-field geoacoustic inversionThe Journal of the Acoustical Society of America, 2006
- Bayesian geoacoustic inversion for the inversion techniques 2001 workshopIEEE Journal of Oceanic Engineering, 2003
- Inversion of seismoacoustic data using genetic algorithms and a posteriori probability distributionsThe Journal of the Acoustical Society of America, 1994