Abstract
We present a review of different distributed constant false alarm rate target detection techniques. We argue that for optimum results involving multiple targets and clutter of variable characteristics, the proper choice is an architecture involving decentralizing processing at multiple sensor sites. A new radar target detection example shows that a simple Boolean OR fusion rule can provide robust and competitive performance when compared to more complex fusion rules.
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