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General Information
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2013 Vol.6(2): 114-118 ISSN: 1793-8236
DOI: 10.7763/IJET.2014.V6.677

Adaptive Fitting Reference Frame for 2-D Indoor Localization Based on RFID

Zhixin Yang and Chen Lei
Abstract—Indoor localization information is important to many different industries. Ever-rising demand from both custom and supplier pose great challenge for indoor localization technology. The emergence of rapid development of Radio Frequency Identification (RFID) technology enriches indoor positioning methodology. Traditional indoor localization algorithm mainly based on the signal propagation property. Among all of positioning algorithm, LANDMARC is most promising one but still has some limitation such as multipath effect, noise form environment and quantity constrain of tags. This paper identifies previous RFID-based indoor localization algorithm and proposes a new algorithm aiming at delivering above limitation to estimate objective position indoor environment. It use RSS propagation curve to obtain RSS value of virtual reference tag, and then estimate target tags position. To evaluate its performance, a comparison between LANDMARC and proposed algorithm was conducted. Experiment result show proposed algorithm is more accurate than LANDMARC.

Index Terms—RFID, indoor localization, LANDMARC, rss curve.

The authors are with the Department Electromechanical Engineering, University of Macau (e-mail: zxyang@umac.mo; MB15550@umac.mo).

[PDF]

Cite:Zhixin Yang and Chen Lei, "Adaptive Fitting Reference Frame for 2-D Indoor Localization Based on RFID," International Journal of Engineering and Technology vol. 6, no. 2, pp. 114-118, 2014.

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