DSSS detection and direction finding methods for a DSP-based small aperture DF system

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dc.contributor.advisorWilkinson, Andrew Johnen_ZA
dc.contributor.authorDurrett, Daviden_ZA
dc.date.accessioned2014-07-31T11:01:58Z
dc.date.available2014-07-31T11:01:58Z
dc.date.issued2005en_ZA
dc.descriptionIncludes bibliographical references (leaves 77-79).
dc.description.abstractThis dissertation discusses an investigation into methods for detection and direction finding of direct-sequence spread-spectrum signals (DSSS), appropriate for a particular DSP-based direction finding platform. Relevant details on DSSS and radio direction finding are presented. These are used as the theorectical basis for the developemtn of a software-bases simulator fo the direction finding platform, which in turn is used to develop and investigate various algorithms. The algorithms included use a least-squares model-based approach. The results of experiments run on simulated data indicate that this approach has merit for the automated detection and direction finding of DSSS signals. the least-squares algorithm applied to a single capture of power-spectrum data is shown to perform comparably with human experts.en_ZA
dc.identifier.apacitationDurrett, D. (2005). <i>DSSS detection and direction finding methods for a DSP-based small aperture DF system</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5276en_ZA
dc.identifier.chicagocitationDurrett, David. <i>"DSSS detection and direction finding methods for a DSP-based small aperture DF system."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2005. http://hdl.handle.net/11427/5276en_ZA
dc.identifier.citationDurrett, D. 2005. DSSS detection and direction finding methods for a DSP-based small aperture DF system. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Durrett, David AB - This dissertation discusses an investigation into methods for detection and direction finding of direct-sequence spread-spectrum signals (DSSS), appropriate for a particular DSP-based direction finding platform. Relevant details on DSSS and radio direction finding are presented. These are used as the theorectical basis for the developemtn of a software-bases simulator fo the direction finding platform, which in turn is used to develop and investigate various algorithms. The algorithms included use a least-squares model-based approach. The results of experiments run on simulated data indicate that this approach has merit for the automated detection and direction finding of DSSS signals. the least-squares algorithm applied to a single capture of power-spectrum data is shown to perform comparably with human experts. DA - 2005 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2005 T1 - DSSS detection and direction finding methods for a DSP-based small aperture DF system TI - DSSS detection and direction finding methods for a DSP-based small aperture DF system UR - http://hdl.handle.net/11427/5276 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5276
dc.identifier.vancouvercitationDurrett D. DSSS detection and direction finding methods for a DSP-based small aperture DF system. [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/11427/5276en_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.titleDSSS detection and direction finding methods for a DSP-based small aperture DF systemen_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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