Executive Summary
This thesis develops and implements a novel Stochastic Dynamically Orthogonal Ray Tracing (DO-Ray) method for ocean acoustic prediction. It addresses the challenge of modeling acoustic propagation in dynamic ocean environments with inherent uncertainties. The DO-Ray method efficiently computes stochastic acoustic ray fields from non-Gaussian environmental uncertainties, preserving complex statistics in a reduced-order fashion.
Why It Matters
This document is crucial for defense analysts as it details advanced methods for predicting underwater acoustic propagation, directly impacting naval operations, submarine warfare, and anti-submarine warfare capabilities. Improved acoustic modeling enhances detection, tracking, and evasion strategies in complex ocean environments.
Key Takeaways
- The DO-Ray method offers a computationally efficient way to model stochastic ocean acoustics, crucial for real-time naval applications.
- It effectively handles non-Gaussian environmental uncertainties, providing more realistic predictions of acoustic ray paths.
- The methodology was validated against Monte Carlo simulations across various sound-speed profiles, demonstrating its accuracy and reduced-order representation capabilities.
- The research was supported by the U.S. Navy and Office of Naval Research, highlighting its direct relevance to military applications.
Strategic Relevance
Accurate and efficient underwater acoustic prediction is paramount for naval strategic advantage. This research provides a significant advancement in modeling acoustic propagation in uncertain ocean environments, directly supporting submarine operations, anti-submarine warfare, and naval intelligence gathering by improving sonar performance and stealth capabilities.