In this study, range migration compensation methods in radar detection are examined from two different aspects: proposing novel methods to compromise between computational complexity and detection performance, and investigating range migration compensation under clutter and target fluctuation. We proposed a low complexity implementation of repetitive chirp-z transform (CZT) in order to be employed in Keystone transform and Radon Fourier transform with no loss in performance. Another efficient method has been proposed to compensate range migration without repeating CZT. The computer simulations show that the proposed method can achieve almost the same detection performance with significantly lower computational complexity compared to the classical ones. In addition, we investigate performance of range migration compensation methods under clutter and target fluctuation, and propose new methods to compensate range migration in these environments.


Radar target detection in non-gaussian clutter
Doyuran, Ülkü; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2007)
In this study, novel methods for high-resolution radar target detection in non-Gaussian clutter environment are proposed. In solution of the problem, two approaches are used: Non-coherent detection that operates on the envelope-detected signal for thresholding and coherent detection that performs clutter suppression, Doppler processing and thresholding at the same time. The proposed non-coherent detectors, which are designed to operate in non-Gaussian and range-heterogeneous clutter, yield higher performanc...
Analysis of Non-Homogeneous Weibull Distributed Clutter
Yasin, M. Hanseref; Uner, Mucahit K. (2019-01-01)
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maximization (EM) method was applied to range heterogeneous Weibull clutter to determine homogeneous regions and estimate the parameters of distributions. The number of distribution in range and their ratio, the scale and shape parameter of distributions were assumed to be unknown. The performance of EM algorithm in terms of, the number of clutter regions in the environment, the ratio of the regions, the number of...
Evaluation of UAS Camera Operator Interfaces in a Simulated Task Environment An Optical Brain Imaging Approach
Çakır, Murat Perit; Akay, Daryal; Ayaz, Hasan; İşler, Veysi (null; 2012-07-11)
In this paper we focus on the effect of different interface designs on the performance and cognitive workload of sensor operators (SO) during a target detection task in a simulated environment. Functional near-infrared (fNIR) spectroscopy is used to investigate whether there is a relationship between target detection performance across three SO interfaces and brain activation data obtained from the subjects’ prefrontal cortices that are associated with relevant higher-order cognitive functions such as atten...
Soydan, Hilal; Koz, Alper; Düzgün, Hafize Şebnem; Alatan, Abdullah Aydın (2015-06-05)
Hyperspectral target detection methods have until now progressed mainly on two paths in remote sensing research. The first approach, anomaly detection methods, use the difference of a local region with respect to its neighborhood to analyze the image without using any prior information of the searched target. The second approach on the other hand uses a previously obtained signature of the target, which uniquely represents the target's characteristics with respect to the spectral wavelengths. The signature ...
Fully-Automatic Target Detection and Tracking for Real-Time, Airborne Imaging Applications
Alkanat, Tunc; Tunali, Emre; Oz, Sinan (2015-03-14)
In this study, an efficient, robust algorithm for automatic target detection and tracking is introduced. Procedure starts with a detection phase. Proposed method uses two alternatives for the detection phase, namely maximally stable extremal regions detector and Canny edge detector. After detection, regions of interest are evaluated and eliminated according to their compactness and effective saliency. The detection process is repeated for a predetermined number of pyramid levels where each level processes a...
Citation Formats
O. ÇULHA, “INVESTIGATION OF RANGE MIGRATION COMPENSATION IN RADAR DETECTION,” Ph.D. - Doctoral Program, Middle East Technical University, 2022.