Distributed CA-CFAR and OS-CFAR detection using fuzzy spaces and fuzzy fusion rules

The analysis of distributed CA-CFAR and OS-CFAR detection using fuzzy fusion rules in homogeneous and non-homogeneous backgrounds is presented. 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 that the fuzzy fusion rule corresponding to the algebraic product operator gives better results than the binary AND and binary OR for a homogeneous background and performs robustly in the presence of interfering targets and clutter-edge situations.