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Includes bibliographical references (p. 101-102).
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2014
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| _version_ | 1867613820666511360 |
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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 |