High Fidelity Acoustic Scattering Models for Large Objects

The dimensionality of the underwater target scattering problem has always been an issue in trading the fidelity versus computational complexity and the trade off is not a trivial issue. The advances made in hardware and the drop in their cost combined with efficient algorithms provided an opportunity to extend the application of high fidelity models to realistic targets and thus improve the detection and classification of underwater targets with an impact on ASW operations and training. In this study, we propose a high fidelity model based on Virtual Source Concept (VSC) and a fast algorithm based on machine/supervised learning that is several orders of magnitude faster than deterministic calculations and more relevant to real world problems