<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Implementing an Acoustic Propagation and Scattering Model for Simulating Synthetic Aperture Sonar Data</dc:title><dc:creator>Brownstead, John </dc:creator><dc:subject>synthetic aperture sonar</dc:subject><dc:subject>scattering</dc:subject><dc:subject>model</dc:subject><dc:coverage>Engineering Science</dc:coverage><dc:relation>B S</dc:relation><dc:description>The objective of this thesis is to develop an acoustic scattering and propagation
model. This model includes fundamental physical effects, can be used to create
synthetic sonar data, and allows users to identify the optimal strategy for introducing
new physical effects into existing models. This model specifically produces synthetic
aperture sonar data using a seafloor that consists only of a user-defined planar
scene. The benefit of this model compared to the already existing and more
sophisticated sonar models is its simplicity and ease of modification. This allows
the user to implement new physical effects using various methods in a low risk
environment to determine which method optimizes image quality and the required
number of computations. Throughout this thesis, the theory behind many acoustic
propagation and scattering models is be explained. This thesis should assist readers
unfamiliar with acoustics in understanding acoustic propagation and scattering
models and in comparing different models.</dc:description><dc:contributor>Daniel C. Brown, Thesis Supervisor</dc:contributor><dc:contributor>Gary L. Gray, Thesis Honors Advisor</dc:contributor><dc:contributor>Andrea P. Arguelles, Thesis Supervisor</dc:contributor><dc:rights>open_access</dc:rights><dc:date>2025-04-24T17:44:20Z</dc:date><dc:identifier>https://honors.libraries.psu.edu/catalog/9820jrb7132</dc:identifier></oai_dc:dc>