CFAR detection
A location scale based CFAR detection framework for FOPEN SAR images
... multi-Model CFAR detection framework, addressing the specific cases of Gumbel Maximum and Weibull distributed ...the CFAR detection algorithm performance analysis on real data, demonstrating ...
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CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory
... a CFAR detection technique is introduced for heterogeneous sea clutter with a noncoherent radar system, where the local clutter power in the CUT is estimated by the Bayesian ...however, CFAR ...
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Multi-model CFAR detection in FOliage PENetrating SAR images
... The CFAR detection algorithm introduced in [12] and [13] and applied to high-resolution SAR images in [11] can be embedded in a framework that is able to select the best LS distribution to be used to ...
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Rapidly Adaptive CFAR Detection in Antenna Arrays
... scalar CFAR methods (not only mean level cell averaging) may be ...scalar CFAR processing was derived in ...scalar CFAR detection threshold is that it obeys the simple linearity property, ...
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Analysis of CFAR Detection of Fluctuating Targets
... The useful procedure for establishing the decision threshold at the output of the radar receiver is based on the classical statistical theory of the Neyman-Pearson criterion which is described in terms of the two types ...
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Coherent CFAR detection in compound Gaussian clutter with inverse gamma texture
... The compound Gaussian clutter is modelled as a sta- tionary stochastic process ccc = SGGG, where GGG is a zero-mean Gaussian process with covariance matrix . Throughout, as in [2,18], it will be assumed that this is ...
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Multistatic adaptive CFAR detection in non Gaussian clutter
... radar detection techniques in the cases that clutter and jamming are Gaussian and corre- lated with both time and ...multichannel detection technique, under cross-correlated Gaussian channels, is proposed ...
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A Coarse-to-Fine Approach for Ship Detection in SAR Image Based on CFAR Algorithm
... The CFAR algorithm is one of the powerful and common algorithms to compute the threshold ...the CFAR detection schemes, the threshold level is calculated when the background clutter is of an ...
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Analysis of cooperative jamming against pulse compression radar based on CFAR
... One important issue in radar jamming is the effect of inaccuracies in the radar position, which leads to a number of false targets entering the reference window of the constant false alarm ratio (CFAR) detector to ...
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Performance Analysis of Os Structure of CFAR Detectors in Fluctuating Target Environments
... of freedomthat is considered for the study of the signal processing algorithms. The performance of the schemes under consideration is analyzed in Section 3 and their performance is assessed in Section 4. In Section 5, we ...
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Distributed CA-CFAR and OS-CFAR Detectors Mentored by Biogeography Based Optimization Tool
... the detection performance of decentralized CA-CFAR and OS-CFAR detectors in presence of Gaussian clutter presented in ...test, CFAR detection comparisons test, obtained by the GA and ...
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A New Adaptive Linear Combined CFAR Detector in Presence of Interfering Targets
... In a radar system, it is needed to determine the power threshold from which any return can be considered as a target. In most radar detectors, the threshold is set in order to achieve a required probability of false ...
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A New Detection Algorithm Based on CFAR for Radar Image with Homogeneous Background
... new CFAR detection algorithm for radar image with homogeneous background is ...of detection, our algorithm offers many other advantages, such as self-adaptation, not depending on the selection of the ...
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Computation of the Normalized Detection Threshold for the FFT Filter Bank-Based Summation CFAR Detector
... Sichun Wang (DRDC Ottawa and CRC) received the B.Sc. and M.Sc. degrees, both in Mathematics, from Nankai University in 1983 and 1989, respectively. He received the PhD degree in Mathematics from McMaster University in ...
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A smart network interface approach for distributed applications on Xilinx Zynq SoCs
... object detection system that forms part of the autonomous driving capabilities and adaptive cruise control system in a modern car [15], ...(CFAR) detection technique to determine the position and ...
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Performance Analysis of Some New CFAR Detectors under Clutter
... new detection network systems adopting fuzzy CA, CAGO, and CASO schemes, and develop two kinds of new information fusion technique called OSGO and OSSO based on OS under Pearson distributed background ...
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A Homogenous Reference Cells Selector for CFAR Detector in Highly Heterogeneous Environment
... adaptive CFAR detectors in heterogeneous environment have been ...optimum detection threshold in homogenous and heterogeneous radar ...clutter-edge detection methods for adaptive CFAR ...
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Performance of Distributed CFAR Processors in Pearson Distributed Clutter
... radar detection, the goal is to automatically detect a tar- get in a nonstationary noise and clutter while maintaining a constant probability of false ...Classical detection using a matched filter receiver ...
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TOF-LIDAR signal processing using the CFAR detector
... the detection performance on a low-SNR target, we propose an extended CFAR detector that enables one to incorporate an additional functionality of intensity in- ...the CFAR framework, the sliding ...
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TOWARDS SECURE CLOUD COMPUTING USING DIGITAL SIGNATURE
... of detection under different HDC rules for N of the cooperative users gives the better possible performance for the average capacity and the normalized throughput of the secondary network over AWGN and Rayleigh ...
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