IEEE Transactions on Aerospace and Electronic Systems · 1988 · 771 citations · 23 references
EngineeringComputer EngineeringRadiation DetectionSensor FusionTime Series AnalysisBackground ReductionDigital Signal ProcessingRadar Clutter SuppressionRadar Signal ProcessingRadar SystemsSignal Detection TheoryBackground NoiseBackground Noise EffectsConstant False Alarm Rate DetectionDetection Threshold CurvesRadar Clutter FilteringRadar Detection TheorySignal Processing For Clutter MitigationThreshold-based Detection
Five different constant false alarm rate (CFAR) radar processing schemes are considered and their performances analyzed in homogeneous and nonhomogeneous backgrounds, the latter specifically being the multiple target environment and regions of clutter transitions. The average detection threshold for each of the CFAR schemes was computed to measure and compare the detection performance in homogeneous noise background. The exponential noise model was used for clear and clutter backgrounds to get closed-form expressions. The processor types compared are: the cell-averaging CFAR, the 'greatest of' CFAR, the 'smallest of' CFAR, the ordered-statistics CFAR, and a modified ordered-statistics processor called the trimmed-mean CFAR.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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