Synthetic Aperture Sonar Forward Modeling and Inversion
Abstract
The importance of the present work lies in the ability to link SAS image statistics to measurable environmental properties such as seafloor roughness. In conjunction with sonar system parameters, this link will provide the foundation necessary for solving several important problems related to the detection of targets with SAS. The direct link between system and environmental parameters via scattering models to the statistical distributions will allow: performance prediction for different systems based on environmental properties, extrapolation of performance to other systems/bandwidths, and optimization of system parameters such as frequency/bandwidth to the local environment. Concisely the proposed objectives are: (1) Examine relationships of acoustic scattering properties (sediment interface and possibly volume for low-frequency systems) to SAS mean levels and statistics; (2) Develop predictive physics-based forward models of mean levels and statistics relevant to SAS; (3) Develop inversion tools for estimating seafloor properties based on forward models; (4) Validate forward models and inversion results against at-sea experimental data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2010
- Accession Number
- ADA542120
Entities
People
- Anthony P. Lyons
Organizations
- Pennsylvania State University