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[PDF] Top 20 Multistatic adaptive CFAR detection in non Gaussian clutter

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Multistatic adaptive CFAR detection in non Gaussian clutter

Multistatic adaptive CFAR detection in non Gaussian clutter

... The adaptive version of the adopted detector, ...the clutter covariance matrix ...the multistatic radar system, NetRAD [24, 25], in order to evaluate the differ- ences between the bistatic and ... See full document

17

Reiterative Robust Adaptive Thresholding for Nonhomogeneity Detection in Non-Gaussian Noise

Reiterative Robust Adaptive Thresholding for Nonhomogeneity Detection in Non-Gaussian Noise

... data adaptive thresholding algorithm that can be used as a preprocessing stage for outlier removal from secondary data, in an adaptive radar which uses an estimate of the interference covariance matrix, ... See full document

11

Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection

Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection

... We assume that the dielectric properties (permittivity and conductivity) of the breast tissues are Gaussian random variables with a mean equal to their nominal values and a variance equal to 0.1 times their mean ... See full document

13

Target Detection in Compound-Gaussian Clutter with Adaptive OFDM Radar

Target Detection in Compound-Gaussian Clutter with Adaptive OFDM Radar

... target detection problem with OFDM radar has attracted considerable attention ...target detection in the presence of multipath reflections, an optimized detection algorithm with OFDM radar was ... See full document

9

A New Adaptive Linear Combined CFAR Detector in Presence of Interfering Targets

A New Adaptive Linear Combined CFAR Detector in Presence of Interfering Targets

... The detection performance of the CA-CFAR detector is optimum in an homogeneous background when the reference cells contain independent and identically distributed ...usually non-homogeneous due to ... See full document

21

Denoising and Back Ground Clutter of Video Sequence using Adaptive Gaussian Mixture Model Based Segmentation for Human Action Recognition

Denoising and Back Ground Clutter of Video Sequence using Adaptive Gaussian Mixture Model Based Segmentation for Human Action Recognition

... on Gaussian Mixture Models is implemented to achieve robust segmentation for noiseless and noisy video ...event detection and ...with Gaussian noise, the results show that the new algorithm increases ... See full document

6

Robust Adaptive Detection Against Sirv Clutter in the Presence of Steering Vector Mismatches

Robust Adaptive Detection Against Sirv Clutter in the Presence of Steering Vector Mismatches

... the detection environment, such as sea clutter, is not well modeled as Gaussian process, and they are more consistent to some high tails non-Gaussian ...of non- Gaussian ... See full document

13

Performance of the Adaptive Normalized Matched Filter Detector in Compound-Gaussian Clutter with Inverse Gamma Texture Model

Performance of the Adaptive Normalized Matched Filter Detector in Compound-Gaussian Clutter with Inverse Gamma Texture Model

... the Adaptive Normalized Matched Filter (ANMF) detector in compound-Gaussian clutter with inverse gamma texture model and unknown covariance ...this clutter model is ...of CFAR behavior ... See full document

18

Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum

Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum

... complex Gaussian noise with unknown ...AR Gaussian process with Gaussian spectrum which is a suitable model for ground clutter in most scenarios involving airborne ...measured clutter ... See full document

10

Bootstrap Based Sequential Detection in Non-Gaussian Correlated Clutter

Bootstrap Based Sequential Detection in Non-Gaussian Correlated Clutter

... radar detection is very scarce, particularly in the case of non- Gaussian ...of non-Gaussian correlated ...the adaptive normalized matched filter (ANMF) is used, where the ... See full document

16

Performance of Distributed CFAR Processors in Pearson Distributed Clutter

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 ... See full document

7

Adaptive Detection in Compound-Gaussian Clutter with Inverse Gaussian Texture

Adaptive Detection in Compound-Gaussian Clutter with Inverse Gaussian Texture

... HR clutter to avoid the deterioration of the detection performance, the numerous research efforts are devoted to both the theoretical modeling of radar backscatter [9–11] and the statistical analysis of the ... See full document

11

Efficient Adaptive Detection Threshold Optimization for Tracking Maneuvering Targets in Clutter

Efficient Adaptive Detection Threshold Optimization for Tracking Maneuvering Targets in Clutter

... best-fitting Gaussian (BFG) distribution [15] at each time step to estimate the performance measure for tracking maneuvering targets with linear Markovian switching ...efficient adaptive detection ... See full document

19

Coherent CFAR detection in compound Gaussian clutter with inverse gamma texture

Coherent CFAR detection in compound Gaussian clutter with inverse gamma texture

... compound Gaussian clutter is modelled as a sta- tionary stochastic process ccc = SGGG, where GGG is a zero-mean Gaussian process with covariance matrix ...pound Gaussian model is ... See full document

13

Review on various Wind Turbine Clutter Mitigation Techniques in Weather RADAR Systems

Review on various Wind Turbine Clutter Mitigation Techniques in Weather RADAR Systems

... Morphological component analysis is used by Faruk Uysal et al [13] to decompose the backscatter from the radars into sum of oscillatory and transient components. Numerous approaches have been proposed to define a ... See full document

6

CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter

CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter

... sea clutter. Specifically, the popular CA-CFAR processor is incapable of maintaining its design false alarm probability when facing clutter with statistical ...CA- CFAR scheme where the factor ... See full document

7

Analysis of CFAR Detection of Fluctuating Targets

Analysis of CFAR Detection of Fluctuating Targets

... including detection probability in homogeneous and multiple target situations, the variation of false alarm rate with the strength of interfering targets, and the required SNRto achieve a predetermined operating ... See full document

30

Design and Implementation of A New CFAR Based on Weighted and Statistical Algorithms

Design and Implementation of A New CFAR Based on Weighted and Statistical Algorithms

... 10 Related to Fig. (8) of the SW-CFAR FPGA block diagram, it has content subsystems can implement in FPGA. Each subsystem achieves a specific task. VHDL model creates the shift register and sorting subsystem using ... See full document

20

Poles Isolation via ESPRIT for Ultra-Wide Band Breast Cancer Imaging

Poles Isolation via ESPRIT for Ultra-Wide Band Breast Cancer Imaging

... cancer detection that rely on UWB microwave imaging based radar approaches, such as Microwave Tomography (MWT) techniques [1–4], Confocal Microwave Imaging (CMI) [5, 6], microwave imaging via space-time ... See full document

15

Moving Target Estimation in Non-Homogeneous Clutter for MIMO Radar

Moving Target Estimation in Non-Homogeneous Clutter for MIMO Radar

... and detection for non-stationary target using MIMO radar in non-homogeneous ...of non-homogeneous clutter due to the azimuth-selective backscattering the clutter power will vary ... See full document

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