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Fuzzy CACMAP-CFAR Performance Analysis
Abstract
In this paper, we consider the problem of distributed constant false alarm rate (CFAR). The Fuzzy cell-averaging (FCA-CFAR) and Fuzzy clutter-map (FCMAP-CFAR) detectors are employed as local detectors. We assume that the target is a fluctuating according to Swerling I model embedded in a white Gaussian noise of unknown variance. Each detector computes the value of the membership function to the false alarm space from the samples of the reference cells and transmits it to the fusion centre. These values are combined according to fuzzy fusion rules to produce a global membership function to the false alarm space. The simulation results indicate the robust performance of fuzzy fusion rules in homogeneous and non-homogeneous situations.
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References
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