Ranking sensors using an adaptive fuzzy logic algorithm

Gil Shayer, Ofir Cohen, Ephraim Korach, Yael Edan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)59-66
Number of pages8
JournalIEEE Sensors Journal
Volume5
Issue number1
DOIs
StatePublished - 1 Feb 2005

Keywords

  • Adaptive algorithm
  • Fusion
  • Logical sensors
  • Performance measures

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