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.
