Super-resolution phased array sonar imaging

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dc.contributor.advisorWilkinson, Andrew Johnen_ZA
dc.contributor.authorEccles, Etienne Fredericken_ZA
dc.date.accessioned2014-07-31T11:01:59Z
dc.date.available2014-07-31T11:01:59Z
dc.date.issued2005en_ZA
dc.descriptionIncludes bibliographical references (p. 101-102).
dc.description.abstractThis 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.en_ZA
dc.identifier.apacitationEccles, E. F. (2005). <i>Super-resolution phased array sonar imaging</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5277en_ZA
dc.identifier.chicagocitationEccles, Etienne Frederick. <i>"Super-resolution phased array sonar imaging."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2005. http://hdl.handle.net/11427/5277en_ZA
dc.identifier.citationEccles, E. 2005. Super-resolution phased array sonar imaging. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Eccles, Etienne Frederick AB - 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. DA - 2005 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2005 T1 - Super-resolution phased array sonar imaging TI - Super-resolution phased array sonar imaging UR - http://hdl.handle.net/11427/5277 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5277
dc.identifier.vancouvercitationEccles EF. Super-resolution phased array sonar imaging. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2005 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5277en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleSuper-resolution phased array sonar imagingen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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