A simulation study for assessing accuracy, uncertainty, and consistency in geoacoustic inversion across methodologies
Abstract
Looking at collected works describing in detail analysis of data collected at the same site (for example, the New England Mud Patch) presents us with open questions. Results, obtained with meticulously developed methods, often-differ and point to different structures of the seabed layers. The differences are stark and are made evident in numerous research studies. Factors like the particular data modality, sound propagation models, prior-environmental characterization, and frequency have critical effects on the inversion. Depending on prior information taken into consideration and relevant assumptions, the inversion process may very well lead to widely-variable answers. The issue of paramount importance then arises as to how we know whether the obtained estimates reveal the right answers, whether there is a bias, what uncertainty is present in the results, and what-resolution a particular method offers. The term right is employed here to denote the true but unknown seabed properties. We want the approach to be used for extracting environment-related information to be of highfidelity-and be able to facilitate through-the-sensor geoacoustic inversion as well as detection and localization. The goal of the proposed work is the comparison of inversion approaches under different assumptions. Conclusions regarding the impact of assumptions and modeling choices will be obtained using-simulations, where the true environmental properties are known. In the simulation experiments, we will employ a collection of (i) propagation models, (ii) inversion approaches including diverse sediment parameterizations and-prior knowledge assumptions, (iii) data modalities, (iv) frequency ranges, and (v) sources.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 14, 2024
- Source ID
- N000142512022
Entities
People
- Zoi Heleni Michalopoulou
Organizations
- New Jersey Institute of Technology
- Office of Naval Research
- United States Navy