CFAR data fusion using fuzzy integration
S.W. Leung, James William Minett · Proceedings of IEEE 5th International Fuzzy Systems · 2002
This paper presents a new approach to constant false alarm rate (CFAR) data fusion using fuzzy integration. The paper describes how any CFAR scheme may be implemented as part of a fuzzy data fusion scheme by choosing an appropriate membership function to represent the CFAR threshold. Once the threshold membership function of the fuzzy integrator has been set up, the false alarm rate of the scheme is independent of fluctuations in interference mean power and depends only on the number of signals integrated by the data fusion unit and the required false alarm rate.