A fuzzy approach to signal integration

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)Letter

37 Scopus Citations
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Original languageEnglish
Pages (from-to)346-351
Journal / PublicationIEEE Transactions on Aerospace and Electronic Systems
Volume38
Issue number1
Publication statusPublished - Jan 2002

Abstract

A new fuzzy concept for postdetection signal integration is presented. The fuzzy integrator is developed as a simple extension of the classic binary integrator by replacing the crisp binary threshold, which quantizes the observed data, with a fuzzy threshold. The performance of the fuzzy integrator is illustrated for detection of a simple nonfluctuating signal in Gaussian noise and is shown to exceed that of the binary integrator, approaching that of the optimal detector with Neyman-Pearson decision rule. Furthermore, the fuzzy integrator has the characteristic that the false alarm rate can be tuned using a single threshold, more easily than that of the dual-threshold binary integrator.