This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is problematic for digital radars with increased sensitivity. A clutter map is formed containing estimates of the two parameters for the K-distribution. The map applies the new thresholds to the data. The false alarm rate is reduced by a factor of 1000 due to the improved accuracy in modeling the clutter distribution tail
We investigate the potential of k-nearest neighbor (KNN) based decision algorithms to detect a coher...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
Knowledge-aided space-time adaptive processing (KASTAP) using multiple coherent processing interval ...
Classical algorithms that were derived with Rayleigh clutter assumption yield increased false alarm ...
ii We examine the problem of determining a decision threshold for the binary hy-pothesis test that n...
The presence of the sea clutter interfering signal sets limitations on the quality of radar detectio...
A power transform-based clutter map constant false alarm rate (CM/PT-CFAR) algorithm is proposed to ...
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...
A k-nearest neighbors (KNN) approach to the design of radar detectors is investigated. The idea is t...
In practical, the problem of radar signal detection is to automatically detect a target embedded in ...
The author introduces a new CFAR procedure, which relies on a hybrid clutter-map/L-CFAR strategy, ai...
This paper considers the detection of fluctuating targets in heavy-tailed clutter through the use of...
We propose a GARCH model to represent the clutter in radar applications. We fit this model to real s...
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maxim...
We investigate the potential of k-nearest neighbor (KNN) based decision algorithms to detect a coher...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
Knowledge-aided space-time adaptive processing (KASTAP) using multiple coherent processing interval ...
Classical algorithms that were derived with Rayleigh clutter assumption yield increased false alarm ...
ii We examine the problem of determining a decision threshold for the binary hy-pothesis test that n...
The presence of the sea clutter interfering signal sets limitations on the quality of radar detectio...
A power transform-based clutter map constant false alarm rate (CM/PT-CFAR) algorithm is proposed to ...
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...
A k-nearest neighbors (KNN) approach to the design of radar detectors is investigated. The idea is t...
In practical, the problem of radar signal detection is to automatically detect a target embedded in ...
The author introduces a new CFAR procedure, which relies on a hybrid clutter-map/L-CFAR strategy, ai...
This paper considers the detection of fluctuating targets in heavy-tailed clutter through the use of...
We propose a GARCH model to represent the clutter in radar applications. We fit this model to real s...
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maxim...
We investigate the potential of k-nearest neighbor (KNN) based decision algorithms to detect a coher...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
Knowledge-aided space-time adaptive processing (KASTAP) using multiple coherent processing interval ...