Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent University, 2009.Thesis (Master's) -- Bilkent University, 2009.Includes bibliographical references leaves 59-62.Pulse 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.Soğancı, HamzaM.S
