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An Adaptive Likelihood Distribution Algorithm for the Localization of Passive RFID Tags

Y. Ota, T. HORI, Teruo Onishi, Tomotaka Wada, K. Mutsuura, Hiraku Okada

Year
2008
Citations
15

Abstract

The RFID (Radio Frequency IDentification) tag technology is expected as a tool of localization. By the localization of RFID tags, a mobile robot which installs in RFID readers can recognize surrounding environments. In addition, RFID tags can be applied to a navigation system for walkers. In this paper, we propose an adaptive likelihood distribution scheme for the localization of RFID tags. This method adjusts the likelihood distribution depending on the signal intensity from RFID tags. We carry out the performance evaluation of estimated position error by both computer simulations and implemental experiments. We show that the proposed system is more effective than the conventional system.

Keywords

Computer scienceRadio-frequency identificationPosition (finance)Scheme (mathematics)Maximum likelihoodIdentification (biology)SIGNAL (programming language)AlgorithmReal-time computingMathematics

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