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We propose a method that improves the constant false alarm rate (CFAR) detection of targets in a nonhomogenous clutter environment. We assume that the clutter data from neighboring cells may have an… Continue Reading
We propose a method that improves the CFAR detection of targets in a non-homogenous clutter environment. We assume that the clutter data from neighboring cells may have an edge with unknown location… Continue Reading
Any clutter edge in the reference window of a radar CFAR detection, produces an error in the clutter power estimation which reduces the detectability of the cell under test (CUT). In processors such… Continue Reading
In this paper we propose three detectors which decide between non-homogenous and homogenous hypotheses of a Gaussian field. We derive the optimal Neyman-Pearson bound and also ALR, GLR and HLR tests… Continue Reading