Helicopter blade parameter extraction for purposes of radar target indentification

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dc.contributor.advisorInggs, Michaelen_ZA
dc.contributor.authorCilliers, Anriaen_ZA
dc.date.accessioned2014-12-27T13:54:01Z
dc.date.available2014-12-27T13:54:01Z
dc.date.issued2010en_ZA
dc.descriptionIncludes bibliographical references (p. 157-159).en_ZA
dc.description.abstractThe positive classification and identification of airborne targets beyond the visual range by using the reflected radar signal has become an increasingly valuable capability for the defence force of a country. The rotating structures on an airborne target cause additional Doppler modulation in the return signal, known as the micro-Doppler effect. Information on the rotating structures can be extracted from this effect. A technique based on time- frequency and tomographic analysis is introduced in this research to extract certain helicopter blade parameters which will aid in the identification of a helicopter. The proposed algorithm shows that (under certain conditions) it is possible to extract the number of main rotor blades, the blade length and the rotation rate of the helicopter's main rotor. These features can be used to determine the make and model of a particular helicopter.en_ZA
dc.identifier.apacitationCilliers, A. (2010). <i>Helicopter blade parameter extraction for purposes of radar target indentification</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/10180en_ZA
dc.identifier.chicagocitationCilliers, Anria. <i>"Helicopter blade parameter extraction for purposes of radar target indentification."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2010. http://hdl.handle.net/11427/10180en_ZA
dc.identifier.citationCilliers, A. 2010. Helicopter blade parameter extraction for purposes of radar target indentification. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Cilliers, Anria AB - The positive classification and identification of airborne targets beyond the visual range by using the reflected radar signal has become an increasingly valuable capability for the defence force of a country. The rotating structures on an airborne target cause additional Doppler modulation in the return signal, known as the micro-Doppler effect. Information on the rotating structures can be extracted from this effect. A technique based on time- frequency and tomographic analysis is introduced in this research to extract certain helicopter blade parameters which will aid in the identification of a helicopter. The proposed algorithm shows that (under certain conditions) it is possible to extract the number of main rotor blades, the blade length and the rotation rate of the helicopter's main rotor. These features can be used to determine the make and model of a particular helicopter. DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Helicopter blade parameter extraction for purposes of radar target indentification TI - Helicopter blade parameter extraction for purposes of radar target indentification UR - http://hdl.handle.net/11427/10180 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10180
dc.identifier.vancouvercitationCilliers A. Helicopter blade parameter extraction for purposes of radar target indentification. [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/11427/10180en_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.titleHelicopter blade parameter extraction for purposes of radar target indentificationen_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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