Accelerating Gauss-Newton filters on FPGA's

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dc.contributor.advisorInggs, Michaelen_ZA
dc.contributor.authorDa Conceicao, Jean-Paul Costaen_ZA
dc.date.accessioned2014-12-28T14:40:54Z
dc.date.available2014-12-28T14:40:54Z
dc.date.issued2010en_ZA
dc.descriptionIncludes bibliographical references (leaves 123-128).en_ZA
dc.description.abstractRadar tracking filters are generally computationally expensive, involving the manipulation of large matrices and deeply nested loops. In addition, they must generally work in real-time to be of any use. The now-common Kalman Filter was developed in the 1960's specifically for the purposes of lowering its computational burden, so that it could be implemented using the limited computational resources of the time. However, with the exponential increases in computing power since then, it is now possible to reconsider more heavy-weight, robust algorithms such as the original nonrecursive Gauss-Newton filter on which the Kalman filter is based. This dissertation investigates the acceleration of such a filter using FPGA technology, making use of custom, reduced-precision number formats.en_ZA
dc.identifier.apacitationDa Conceicao, J. C. (2010). <i>Accelerating Gauss-Newton filters on FPGA's</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/10329en_ZA
dc.identifier.chicagocitationDa Conceicao, Jean-Paul Costa. <i>"Accelerating Gauss-Newton filters on FPGA's."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2010. http://hdl.handle.net/11427/10329en_ZA
dc.identifier.citationDa Conceicao, J. 2010. Accelerating Gauss-Newton filters on FPGA's. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Da Conceicao, Jean-Paul Costa AB - Radar tracking filters are generally computationally expensive, involving the manipulation of large matrices and deeply nested loops. In addition, they must generally work in real-time to be of any use. The now-common Kalman Filter was developed in the 1960's specifically for the purposes of lowering its computational burden, so that it could be implemented using the limited computational resources of the time. However, with the exponential increases in computing power since then, it is now possible to reconsider more heavy-weight, robust algorithms such as the original nonrecursive Gauss-Newton filter on which the Kalman filter is based. This dissertation investigates the acceleration of such a filter using FPGA technology, making use of custom, reduced-precision number formats. DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Accelerating Gauss-Newton filters on FPGA's TI - Accelerating Gauss-Newton filters on FPGA's UR - http://hdl.handle.net/11427/10329 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10329
dc.identifier.vancouvercitationDa Conceicao JC. Accelerating Gauss-Newton filters on FPGA's. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2010 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10329en_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.titleAccelerating Gauss-Newton filters on FPGA'sen_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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