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Interferometric Synthetic Aperture Sonar Signal Processing For Autonomous Underwater Vehicles Operating Shallow Water, Patricia E. Giardina
Interferometric Synthetic Aperture Sonar Signal Processing For Autonomous Underwater Vehicles Operating Shallow Water, Patricia E. Giardina
University of New Orleans Theses and Dissertations
The goal of the research was to develop best practices for image signal processing method for InSAS systems for bathymetric height determination. Improvements over existing techniques comes from the fusion of Chirp-Scaling a phase preserving beamforming techniques to form a SAS image, an interferometric Vernier method to unwrap the phase; and confirming the direction of arrival with the MUltiple SIgnal Channel (MUSIC) estimation technique. The fusion of Chirp-Scaling, Vernier, and MUSIC lead to the stability in the bathymetric height measurement, and improvements in resolution. This method is computationally faster, and used less memory then existing techniques.