Title :
A fuzzy approach to signal integration
Author :
Leung, S.W. ; Minett, J.W. ; Siu, Y.M. ; Lee, M.K.
fDate :
1/1/2002 12:00:00 AM
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
Keywords :
Gaussian noise; fuzzy logic; signal detection; Gaussian noise; crisp binary threshold; false alarm rate; fuzzy approach; fuzzy integrator; fuzzy threshold; nonfluctuating signal; postdetection signal integration; Accelerometers; Aerodynamics; Angular velocity; Automatic control; Gravity; Inertial navigation; Motion measurement; Rotation measurement; Systems engineering and theory; Velocity measurement;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
