Abstract
This paper presents a new model of the Nonlinear Fusion Constant False Alarm Rate detector. Mentioned detector is some kind of modification of fusion CFAR detector. Also, it is implemented in the receiver of the software defined radar. Approach of this new detector is based on parallel operation of three well-known types of CFAR detectors: Cell Averaging, Ordered Statistic and the Trimmed Mean CFAR. In this case probability of false alarm rate has not the same value in each single CFAR algorithm, as it was in the realization of linear fusion CFAR detector before. The aim of this work is elimination of the largest possible number of false targets with the least possible disruption of the probability of detection of real radar targets. The paper presents detection of real radar targets in real clutter. Also, we will compare the characteristics of nonlinear with linear fusion CFAR detector.
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