In this paper, we analyze and compare the performance of the CA-CFAR, GO-CFAR and the SO-CFAR detectors in homogeneous and non-homogeneous Weibull background with known shape parameter for Multi-Input Multi-Output radars with widely separated antennas. The non-homogeneity is represented by the presence of interfering targets and a clutter edge in the reference window. We derive closed-form expressions of the probability of false alarm of the three detectors in homogeneous environment. Detector performance in non-homogeneous environment is investigated by means of Monte Carlo simulations. The numerical results show that the best performance is obtained by the SO-CFAR in the case of a high number of interferences, whereas the GO-CFAR has the ...
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maxim...
In this paper, we propose a new solution for the detection problem of a coherent target in heterogen...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
In this paper, we analyze and compare the performance of the CA-CFAR, GO-CFAR and the SO-CFAR detect...
We evaluate the performances of several distributed CFAR tests operating in nonhomogeneous backgroun...
We evaluate the performances of several distributed constant false-alarm rate (CFAR) tests operating...
The purpose of this work is to address the problem of detection in an inhomogeneous environment with...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
This paper considers the problem of constant false alarm rate (CFAR) detection of radar targets usin...
are proposed. Each of them has its own advantages accord-ing to radar environment situations so that...
In an automatic radar detection system the received signal in every range resolution cell is compare...
The goal of this paper is to improve the detection performance and the false alarm regulation of the...
In this paper we introduce a new switched order statistics CFARtest (SW-OS) for detecting a radar ta...
In this work a new radar detection method is proposed, the Cell Average Neural Network Constant fals...
The operation of coastal and off-shore radars is affected because the targets are surrounded by a ba...
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maxim...
In this paper, we propose a new solution for the detection problem of a coherent target in heterogen...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
In this paper, we analyze and compare the performance of the CA-CFAR, GO-CFAR and the SO-CFAR detect...
We evaluate the performances of several distributed CFAR tests operating in nonhomogeneous backgroun...
We evaluate the performances of several distributed constant false-alarm rate (CFAR) tests operating...
The purpose of this work is to address the problem of detection in an inhomogeneous environment with...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
This paper considers the problem of constant false alarm rate (CFAR) detection of radar targets usin...
are proposed. Each of them has its own advantages accord-ing to radar environment situations so that...
In an automatic radar detection system the received signal in every range resolution cell is compare...
The goal of this paper is to improve the detection performance and the false alarm regulation of the...
In this paper we introduce a new switched order statistics CFARtest (SW-OS) for detecting a radar ta...
In this work a new radar detection method is proposed, the Cell Average Neural Network Constant fals...
The operation of coastal and off-shore radars is affected because the targets are surrounded by a ba...
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maxim...
In this paper, we propose a new solution for the detection problem of a coherent target in heterogen...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...