A CFAR Detector in a Nonhomogenous Weibull Clutter

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 edge with unknown location dividing data samples into two parts with different independent and identi...

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Veröffentlicht in:IEEE transactions on aerospace and electronic systems 2012-04, Vol.48 (2), p.1747-1758
Hauptverfasser: Pourmottaghi, A., Taban, M. R., Gazor, S.
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Gazor, S.
description 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 edge with unknown location dividing data samples into two parts with different independent and identically distributed (IID) Weibull distributions. We propose automatic clutter edge localization which allows us to eliminate the outlier/misleading data, and thereby improves the CFAR detection performance. We also suggest a CFAR detector (CFARD) which uses this estimator.
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source IEEE Electronic Library (IEL)
subjects Aircraft components
Clutter
Detectors
Electronic systems
Estimators
Image edge detection
Localization
Maximum likelihood estimation
Object detection
Position (location)
Radar
Weibull distribution
title A CFAR Detector in a Nonhomogenous Weibull Clutter
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