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University of New Orleans

Interferometric Synthetic Aperture Sonar Signal Processing for Autonomous Underwater Vehicles Operating Shallow Water

Abstract

dc:description.abstract

<p>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.</p>

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Physics
Year
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Giardina, Patricia E
Contributors dc:contributor
  • Dr. Juliette Ioup
  • Dr. Maria Kalcic
  • Dr Stan Chin-Bing

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/1553
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-2587

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Giardina, Patricia E. Interferometric Synthetic Aperture Sonar Signal Processing for Autonomous Underwater Vehicles Operating Shallow Water. Dissertation thesis, 2012. https://scholarworks.uno.edu/td/1553