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Super-resolution phased array sonar imaging

Includes bibliographical references (p. 101-102).

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Bibliographic Details
Main Author: Eccles, Etienne Frederick
Other Authors: Wilkinson, Andrew John
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Eccles, Etienne Frederick
author2 Wilkinson, Andrew John
author_browse Eccles, Etienne Frederick
Wilkinson, Andrew John
author_facet Wilkinson, Andrew John
Eccles, Etienne Frederick
author_sort Eccles, Etienne Frederick
collection Thesis
description Includes bibliographical references (p. 101-102).
format Thesis
id oai:open.uct.ac.za:11427/5277
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:42:13.735Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5277 Super-resolution phased array sonar imaging Eccles, Etienne Frederick Wilkinson, Andrew John Electrical Engineering Includes bibliographical references (p. 101-102). This dissertation applies super-resolution signal processing alogrithms to image reconstruction for a multibeam phased array sonar. A generic data model for phased array sonars is first developed and is used to derive conventional signal processing concepts for image reconstruction which are necessary for the implementation of the super-resolution algorithms. The most well studied super-resolution algorithms in the literature are reviewed and evaluated for their application to sonar imaging with a focus on rubustness to additive noise and model errors and to their computaitonal efficiency. The algorithms are evaluated on borht by simulation and real data from the ABACUS sonar, an example of a phased array sonar. An efficienct sub-imaging algorithm for implementing super-resuolution imaging for the ABAcus is developed and is compared to the conventional image reconstruction algorithm. Super-resolution inter-ferometric imaging is also developed and evaluated. The Minimum Variance filter is found to be the most suitable algorithm for super-resolution imaging for this type of sonar. 2014-07-31T11:01:59Z 2014-07-31T11:01:59Z 2005 Master Thesis Masters MSc http://hdl.handle.net/11427/5277 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Eccles, Etienne Frederick
Super-resolution phased array sonar imaging
thesis_degree_str Master's
title Super-resolution phased array sonar imaging
title_full Super-resolution phased array sonar imaging
title_fullStr Super-resolution phased array sonar imaging
title_full_unstemmed Super-resolution phased array sonar imaging
title_short Super-resolution phased array sonar imaging
title_sort super resolution phased array sonar imaging
topic Electrical Engineering
url http://hdl.handle.net/11427/5277
work_keys_str_mv AT ecclesetiennefrederick superresolutionphasedarraysonarimaging