Order statistic and Maximum Likelihood distributed CFAR detectors in Weibull background

we consider a fuzzy distributed system in which the local detectors do not produce a binary decision but a value (between 0 and 1) of the membership functions. In this case, we consider the problem of the distributed Maximum Likelihood (ML) and Order Statistic (OS) constant false alarm rate (CFAR) detections using various fuzzy fusion rules in Weibull clutter. Computer simulation is used for performance evaluation of these distributed detectors using fuzzy fusion rules such as “Algebraic Product”, “Algebraic Sum”, “Union” and “Intersection”. The results indicated robust and superior performance of algebraic product in the homogenous and non-homogenous situations.