A General framework for adaptive radar detection based on fast and slow-time preprocessing

Saraç, Uğur Berkay
This thesis is about the design of an adaptive radar detector under heterogeneous clutter environment using a small number of secondary data, which is at the same time robust to Doppler mismatch. To this end, the observations taken from heterogeneous clutter environment are first processed with a specially designed fast-time preprocessing matrix, cleansing the target contamination in the secondary range cells. Using these clean secondary data, the covariance matrix of the clutter is estimated via the parametric spectral estimation method proposed by Burg. Using this clutter space and the target space in which the targets are assumed to be in Generalized Eigenspace operation, a reduced dimension space which includes the target space and escapes the clutter space is found. After the observations which are purified in the fast-time dimension are projected in this newfound space, the detection mechanism is activated using the reduced dimension Kelly detector. In this thesis, all steps described here are explained in detail and the performance of the proposed detector is evaluated and compared with the other detectors in the literature by using the MATLAB simulation results.


On the Impact of Fast-Time and Slow-Time Preprocessing Operations on Adaptive Target Detectors
Güvensen, Gökhan Muzaffer; Candan, Çağatay (2018-04-27)
Conventional adaptive detectors assume independent and identically distributed (iid) secondary data vectors which is not contaminated with the target signal. Yet, the input to the adaptive detectors are produced by preprocessing the raw data in fast-time and slow-time dimensions, in general. This paper mainly aims to study the impact of fast-time matched filtering on the adaptive target detectors, namely Kelly's detector, adaptive matched filter (AMF) and adaptive coherence estimator (ACE). It is shown that...
A Kalman Filter Based Approach for Light Flicker Evaluation of Power Systems
Kose, Neslihan; Salor, Ozgul; Leblebicioğlu, Mehmet Kemal (2009-01-01)
In this paper, a Kalman filtering based approach is proposed to measure the light flicker of the electricity transmission systems. Analytical expressions of the instantaneous light flicker sensation are obtained beginning from a voltage waveform and these expressions are used to obtain a flicker estimation method based on the IEC (International Electrotechnical Commission) flickermeter. In the proposed method, the frequency domain components of the waveform are obtained by Kalman filtering and these compone...
A Transformation Media Based Approach for Efficient Monte Carlo Analysis of Scattering From Rough Surfaces With Objects
Ozgun, Ozlem; Kuzuoğlu, Mustafa (2013-03-01)
This paper presents a computational model that utilizes transformation-based metamaterials to enhance the performance of numerical modeling methods for achieving the statistical characterization of two-dimensional electromagnetic scattering from objects on or above one-dimensional rough sea surfaces. Monte Carlo simulation of the rough surface scattering problem by means of differential equation-based finite methods (such as finite element or finite difference methods) usually places a heavy burden on compu...
A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization
TAYLAN, PAKİZE; Weber, Gerhard Wilhelm; Ozkurt, Fatma Yerlikaya (2010-12-01)
This paper introduces a model-based approach to the important data mining tool Multivariate adaptive regression splines (MARS), which has originally been organized in a more model-free way. Indeed, MARS denotes a modern methodology from statistical learning which is important in both classification and regression, with an increasing number of applications in many areas of science, economy and technology. It is very useful for high-dimensional problems and shows a great promise for fitting nonlinear multivar...
Özgüven, Hasan Nevzat (Elsevier BV, 1987-09-08)
A method of calculating the receptances of a non-proportionally damped structure from the undamped modal data and the damping matrix of the system is presented. The method developed is an exact method. It gives exact results when exact undamped receptances are employed in the computation. Inaccuracies are due to the truncations made in the calculation of undamped receptances. Numerical examples, demonstrating the accuracy and speed of the method when truncated receptance series are used are also presented. ...
Citation Formats
U. B. Saraç, “A General framework for adaptive radar detection based on fast and slow-time preprocessing,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Electrical and Electronics Engineering., Middle East Technical University, 2019.