The purpose of this work is to address the problem of detection in an inhomogeneous environment with clutter distributed in a homogeneous way for two types of detectors the OS and the ML-CFAR. The clutter is assumed to be a sea clutter represented by a Weibull distribution. In order to determine which detector is the best, a comparison was made for several parameters by simulation related to the variation of the signal-to-clutter ratio (SCR) and some cells N and the probability of false alarm also for different values of the shape parameter c is known or unknown. The results show that the ML-CFAR detector improved performance over the OS-CFAR detector
Two types of distributed constant false alarm rate (CFAR) detection using binary and fuzzy weighting...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
When radars operate in coastal or offshore environments, an undesired signal known as clutter appear...
This paper considers the problem of constant false alarm rate (CFAR) detection of radar targets usin...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
Conventional fixed threshold detectors set a fixed threshold based on the overall statistical charac...
The author introduces a new CFAR procedure, which relies on a hybrid clutter-map/L-CFAR strategy, ai...
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 paper, the problem of detecting target in system-dependent clutter (SDC) background with a s...
This paper presents a false alarm analysis of the cell-averaging-trimmed-mean constant false alarm r...
The presence of the sea clutter interfering signal sets limitations on the quality of radar detectio...
The problem of decentralized constant false alarm rate (CFAR) detection, with L-CFAR remote sensors,...
The constant false alarm rate (CFAR) is a detection algorithm that is generally used in radar or son...
Two types of distributed constant false alarm rate (CFAR) detection using binary and fuzzy weighting...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
When radars operate in coastal or offshore environments, an undesired signal known as clutter appear...
This paper considers the problem of constant false alarm rate (CFAR) detection of radar targets usin...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
Conventional fixed threshold detectors set a fixed threshold based on the overall statistical charac...
The author introduces a new CFAR procedure, which relies on a hybrid clutter-map/L-CFAR strategy, ai...
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 paper, the problem of detecting target in system-dependent clutter (SDC) background with a s...
This paper presents a false alarm analysis of the cell-averaging-trimmed-mean constant false alarm r...
The presence of the sea clutter interfering signal sets limitations on the quality of radar detectio...
The problem of decentralized constant false alarm rate (CFAR) detection, with L-CFAR remote sensors,...
The constant false alarm rate (CFAR) is a detection algorithm that is generally used in radar or son...
Two types of distributed constant false alarm rate (CFAR) detection using binary and fuzzy weighting...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...