Doppler frequency estimation in pulse doppler radar systems

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buir.advisorGezici, Sinan
dc.contributor.authorSoğancı, Hamza
dc.date.accessioned2016-01-08T18:11:23Z
dc.date.available2016-01-08T18:11:23Z
dc.date.issued2009
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent University, 2009.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2009.en_US
dc.descriptionIncludes bibliographical references leaves 59-62.en_US
dc.description.abstractPulse Doppler radar systems are one of the most common types of radar systems, especially in military applications. These radars are mainly designed to estimate two basic parameters of the targets, range and Doppler frequency. A common procedure of estimating those parameters is matched filtering, followed by pulse Doppler processing, and finally one of the several constant false alarm rate (CFAR) algorithms. However, because of the structure of the waveform obtained after pulse Doppler processing, CFAR algorithms cannot always find the Doppler frequency of a target accurately. In this thesis, two different algorithms, maximum selection and successive cancelation, are proposed and their performances are compared with the optimal maximum likelihood (ML) solution. These proposed algorithms both utilize the advantage of knowing the waveform structure of a point target obtained after pulse Doppler processing in the Doppler frequency domain. Maximum selection basically chooses the Doppler frequency cells with the largest amplitudes to be the ones where there is a target. On the other hand, successive cancelation is an iterative algorithm. In each iteration, it finds a target that minimizes a specific cost function, until there are no more targets. The performances of these algorithms are investigated for several different point target scenarios. Moreover, the performances of the algorithms are tested on some realistic target models. Based on all those observations, it is concluded that maximum selection is a good choice for high SNR values when a low-complexity algorithm is needed, on the other hand, successive cancelation performs almost as well as the optimal solution at all SNR values.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilitySoğancı, Hamzaen_US
dc.format.extentxii, 62 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/14947
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPulse Doppler Radaren_US
dc.subjectMaximum Likelihooden_US
dc.subjectCFARen_US
dc.subjectPulse Doppler Processingen_US
dc.subjectMatched Filteringen_US
dc.subjectDoppler Frequencyen_US
dc.subject.lccTK6592.D6 S64 2009en_US
dc.subject.lcshDoppler radar.en_US
dc.subject.lcshPulse compression radar.en_US
dc.titleDoppler frequency estimation in pulse doppler radar systemsen_US
dc.typeThesisen_US

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