Impact of oceanography on broadband signal propagation in inhomogeneous acoustic waveguides
Abstract
Accurate prediction of Transmission Loss (TL) is crucial in underwater acoustics for applications like sonar and inverse problems. The main challenge in fully utilizing TL lies in understanding how waveguide parameters, such as seabed attenuation layered structure and inhomogeneities, spatial and temporal variabilities in the water columns sound speed profile (SSP), and sea surface roughness,contribute to TL. The Pekeris waveguide model remains foundational in ocean acoustics research. With advancements in modeling, we can now incorporate temporal and spatial variabilities of waveguide parameters, including boundaries and 3D acoustic effects like reflection, refraction, and scattering in both vertical and horizontal planes. These 3D volumetric and boundary effects on underwater sound propagation and scattering in complex, time-varying (i.e., 4D) environments have recently gained attention. Our laboratory has engaged and contributed to this field. Differentiating between horizontally stratified and sloping bottom waveguides is crucial for sonar system design and interpreting sonar data in shallow water environments. Considering the effect of surface roughness on multipath transmission is essential for designing reliable and adaptive underwater acoustic systems. Excellent data have been collected inrecent years addressing naval related applications, and shallow-water waveguides, with the Seabed Characterization Experiments (SBCEXPs) during the last decade. We aim to improve our understanding of waveguide physics by utilizing 2D and 3D acoustic models. Thesemodels will help analyze and understand shallow-water acoustic waveguides, including bottom interactions, and the effects of the water column and sea surface on acoustic signal propagation. Our research and proposal cover analytical, numerical, and experimental data analysis.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 13, 2025
- Source ID
- N000142512074
Entities
People
- Mohsen Badiey
Organizations
- Office of Naval Research
- United States Navy
- University of Delaware