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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/21603
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dc.contributor.authorDavey, Samuel Jarroden
dc.date.issued2003en
dc.identifier.urihttp://hdl.handle.net/2440/21603-
dc.description"September 2003"en
dc.descriptionBibliography: leaves 209-216.en
dc.descriptionxxvi, 216 leaves : ill. ; 30 cm.en
dc.description.abstractThis thesis has introduced a number of enhancements to the PMHT algorithm, motivated by the Over the Horizon Radar tracking problem. The two primary enhancements are the incorporation of classification information, and the introduction of a discrete state model for the assignment prior probability. The modified PMHT algorithms achieved through these enhancements are referred to as PMHT-c and PMHT-y respectively.en
dc.format.extent684289 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.subject.lcshOver-the-horizon radar.en
dc.subject.lcshAlgorithmsen
dc.titleExtensions to the probabilistic multi-hypothesis tracker for improved data association / Samuel J. Davey/en
dc.typeThesisen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.provenanceThis electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legalsen
dc.description.dissertationThesis (Ph.D.)--University of Adelaide, School of Electrical and Electronic Engineering, 2003en
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