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 CFAR reference cells, the value of shape and scale parameters of the distributions, was analysed
We evaluate the performances of several distributed constant false-alarm rate (CFAR) tests operating...
This paper deals with the distributed constant false alarm rate (CFAR) radar detection of targets e...
We evaluate the performances of several distributed CFAR tests operating in nonhomogeneous backgroun...
In this thesis study, for high resolution CFAR radar systems, Expectation-Maximizaion (EM) method wa...
The problem of radar target detection in Weibull and range-heterogeneous clutter is considered. The ...
Classical algorithms that were derived with Rayleigh clutter assumption yield increased false alarm ...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
The purpose of this work is to address the problem of detection in an inhomogeneous environment with...
When radars operate in coastal or offshore environments, an undesired signal known as clutter appear...
An adaptive target detector in radar system is used to extract targets from background in noisy envi...
In this paper, we analyze and compare the performance of the CA-CFAR, GO-CFAR and the SO-CFAR detect...
In this work a new radar detection method is proposed, the Cell Average Neural Network Constant fals...
The authors deal with constant false alarm rate (CFAR) procedures against nonstationary clutter, mod...
This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is pr...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
We evaluate the performances of several distributed constant false-alarm rate (CFAR) tests operating...
This paper deals with the distributed constant false alarm rate (CFAR) radar detection of targets e...
We evaluate the performances of several distributed CFAR tests operating in nonhomogeneous backgroun...
In this thesis study, for high resolution CFAR radar systems, Expectation-Maximizaion (EM) method wa...
The problem of radar target detection in Weibull and range-heterogeneous clutter is considered. The ...
Classical algorithms that were derived with Rayleigh clutter assumption yield increased false alarm ...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
The purpose of this work is to address the problem of detection in an inhomogeneous environment with...
When radars operate in coastal or offshore environments, an undesired signal known as clutter appear...
An adaptive target detector in radar system is used to extract targets from background in noisy envi...
In this paper, we analyze and compare the performance of the CA-CFAR, GO-CFAR and the SO-CFAR detect...
In this work a new radar detection method is proposed, the Cell Average Neural Network Constant fals...
The authors deal with constant false alarm rate (CFAR) procedures against nonstationary clutter, mod...
This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is pr...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
We evaluate the performances of several distributed constant false-alarm rate (CFAR) tests operating...
This paper deals with the distributed constant false alarm rate (CFAR) radar detection of targets e...
We evaluate the performances of several distributed CFAR tests operating in nonhomogeneous backgroun...