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Stochastic sediment property inversion in Shallow Water 06.
1Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA michalop@njit.edu.
The Journal of the Acoustical Society of America
|December 3, 2017
Summary
This study uses Gibbs sampling to estimate acoustic path arrival times. These estimates improve underwater source localization and sediment property inversion, quantifying uncertainty.
Area of Science:
- Ocean acoustics
- Geophysical inverse theory
Background:
- Acoustic signals reveal underwater environments.
- Identifying distinct signal paths is crucial for accurate environmental parameter estimation.
Purpose of the Study:
- To estimate acoustic path arrival times and associated probability densities using Gibbs sampling.
- To determine source and water column properties using linearized inverse methods.
- To invert for sediment properties and quantify uncertainty.
Main Methods:
- Gibbs sampling for arrival time and probability density estimation.
- Linearized inverse problem for source and water properties.
- Non-linear, grid-based model for sediment property inversion.
Main Results:
- Accurate estimation of arrival times for direct, surface, bottom, and sediment reflection paths.
- Quantified probability densities for source range, depth, water depth, and sound speed.
- Derived densities and point estimates for sediment sound speed and thickness.
Conclusions:
- Gibbs sampling effectively estimates acoustic path parameters.
- The method provides robust inversion for underwater source and sediment properties.
- Density computation is vital for expressing uncertainty in sediment property inversions.
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