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Ranking sensors using an adaptive fuzzy logic algorithm

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4 Author(s)
Shayer, G. ; Dept. of Ind. Eng. & Manage., Ben-Gurion Univ. of the Negev, Beer Sheva, Israel ; Cohen, O. ; Korach, E. ; Edan, Y.

A procedure to rank sensors according to their noise rates was developed based on an adaptive fuzzy logic algorithm for sensor fusion. No a priori knowledge of the sensors performance is assumed. Simulation analysis indicated 83.33% successful ranking with noise rates up to 50%. In an indoor experiment with a mobile robot equipped with three logical sensors, 88% of the rankings were correct. The ranking procedure also indicates the ranking results success probability.

Published in:

Sensors Journal, IEEE  (Volume:5 ,  Issue: 1 )