Classical algorithms that were derived with Rayleigh clutter assumption yield increased false alarm rate under Weibull clutter. In this study, a method for radar thresholding in range-heterogeneous Weibull radar clutter is proposed. The method employs Expectation-Maximization (EM) algorithm in estimation of the parameters and sets the threshold according to these estimates to yield the desired false alarm rate. Due to the mathematical complexity of the shape parameter estimation, an algorithm that uses a predefined shape parameter set is proposed. Performance of the algorithm is analyzed and it is shown to perform successfully even under spiky clutter conditions
In this paper, we propose a new solution for the detection problem of a coherent target in heterogen...
Conventional fixed threshold detectors set a fixed threshold based on the overall statistical charac...
In this paper, we consider the problem of radar detector threshold optimization for maneuvering targ...
The problem of radar target detection in Weibull and range-heterogeneous clutter is considered. The ...
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maxim...
This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is pr...
In this thesis study, for high resolution CFAR radar systems, Expectation-Maximizaion (EM) method wa...
ii We examine the problem of determining a decision threshold for the binary hy-pothesis test that n...
This paper proposes a new algorithm for detecting radar targets on the clutter background using a no...
This paper introduces an innovative method for ground moving target indication with a multichannel a...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
We have devised a processor for pulsed Doppler radars for multi-target detection in same folded rang...
When radars operate in coastal or offshore environments, an undesired signal known as clutter appear...
Abstract: The clutter encountered in low grazing an-gle situations is generally a non gaussian impul...
In this paper, we propose a new solution for the detection problem of a coherent target in heterogen...
Conventional fixed threshold detectors set a fixed threshold based on the overall statistical charac...
In this paper, we consider the problem of radar detector threshold optimization for maneuvering targ...
The problem of radar target detection in Weibull and range-heterogeneous clutter is considered. The ...
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maxim...
This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is pr...
In this thesis study, for high resolution CFAR radar systems, Expectation-Maximizaion (EM) method wa...
ii We examine the problem of determining a decision threshold for the binary hy-pothesis test that n...
This paper proposes a new algorithm for detecting radar targets on the clutter background using a no...
This paper introduces an innovative method for ground moving target indication with a multichannel a...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
This work deals with a target detection algorithm for multistatic and multiple input-multiple output...
We have devised a processor for pulsed Doppler radars for multi-target detection in same folded rang...
When radars operate in coastal or offshore environments, an undesired signal known as clutter appear...
Abstract: The clutter encountered in low grazing an-gle situations is generally a non gaussian impul...
In this paper, we propose a new solution for the detection problem of a coherent target in heterogen...
Conventional fixed threshold detectors set a fixed threshold based on the overall statistical charac...
In this paper, we consider the problem of radar detector threshold optimization for maneuvering targ...