Title :
Ranking sensors using an adaptive fuzzy logic algorithm
Author :
Shayer, Gil ; Cohen, Ofir ; Korach, Ephraim ; Edan, Yael
Author_Institution :
Dept. of Ind. Eng. & Manage., Ben-Gurion Univ. of the Negev, Beer Sheva, Israel
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.
Keywords :
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; Algorithm design and analysis; Analytical models; Fuzzy logic; Gas insulated transmission lines; Hidden Markov models; Mobile robots; Robot kinematics; Robot sensing systems; Sensor fusion; Sensor phenomena and characterization;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2004.839596
