Sea clutter simulation

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dc.contributor.advisorInggs, Michaelen_ZA
dc.contributor.authorOyedokun, Titus Oluwaleen_ZA
dc.date.accessioned2015-10-30T10:42:21Z
dc.date.available2015-10-30T10:42:21Z
dc.date.issued2012en_ZA
dc.descriptionIncludes bibliograpical references.en_ZA
dc.description.abstractThis dissertation presents the results of a study, the aim of which was the prediction of sea clutter characteristics including the temporal properties of the return signals as observed by a maritime surveillance radar system. The compound K distribution model used to generate clutter amplitude statistic enables the simulation of sea clutter with a good level of approximation to real radar data and this model forms the basis for the simulation of sea clutter amplitude statistic in this dissertation. Using this distribution, a sea clutter simulator is designed to generate correlated K distributed random variates from a predefined correlation function using the method by Ward and Tough [1 ]. Results from the sea clutter simulator shows that the simulated correlated random variates fit the theoretical K distribution PDF. Experimental sea clutter measurements were carried out using an experimental netted radar system. This was done at Scarborough Cape Town. Result obtained from the monostatic node is presented. This shows the amplitude statistics of the clutter as well as the temporal variation of the Doppler spectrum. Conclusions are drawn based on this results and suggestions made for further work.en_ZA
dc.identifier.apacitationOyedokun, T. O. (2012). <i>Sea clutter simulation</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/14557en_ZA
dc.identifier.chicagocitationOyedokun, Titus Oluwale. <i>"Sea clutter simulation."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2012. http://hdl.handle.net/11427/14557en_ZA
dc.identifier.citationOyedokun, T. 2012. Sea clutter simulation. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Oyedokun, Titus Oluwale AB - This dissertation presents the results of a study, the aim of which was the prediction of sea clutter characteristics including the temporal properties of the return signals as observed by a maritime surveillance radar system. The compound K distribution model used to generate clutter amplitude statistic enables the simulation of sea clutter with a good level of approximation to real radar data and this model forms the basis for the simulation of sea clutter amplitude statistic in this dissertation. Using this distribution, a sea clutter simulator is designed to generate correlated K distributed random variates from a predefined correlation function using the method by Ward and Tough [1 ]. Results from the sea clutter simulator shows that the simulated correlated random variates fit the theoretical K distribution PDF. Experimental sea clutter measurements were carried out using an experimental netted radar system. This was done at Scarborough Cape Town. Result obtained from the monostatic node is presented. This shows the amplitude statistics of the clutter as well as the temporal variation of the Doppler spectrum. Conclusions are drawn based on this results and suggestions made for further work. DA - 2012 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Sea clutter simulation TI - Sea clutter simulation UR - http://hdl.handle.net/11427/14557 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/14557
dc.identifier.vancouvercitationOyedokun TO. Sea clutter simulation. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/14557en_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.titleSea clutter simulationen_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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