Ranking sensors using an adaptive fuzzy logic algorithm
Sensors Journal, IEEE（2005）
Abstract
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.
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Key words
adaptive control,fuzzy control,fuzzy logic,mobile robots,sensor fusion,adaptive fuzzy logic algorithm,logical sensors,mobile robot,noise rates,performance measures,ranking sensors,sensor fusion
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