RFID 2D-localization improvement using modified LANDMARC with linear MMSE estimation

Author

Sansanayuth, Thitipong ; Suksompong, Prapun ; Chareonlarpnopparut, Chalie ; Taparugssanagorn, Attaphongse

Author_Institution

Sch. of Inf., Comput. & Commun., Technol. (ICT), Thammasat Univ., Pathum Thani, Thailand

fYear

2013

fDate

4-6 Sept. 2013

Firstpage

133

Lastpage

137

Abstract

RFID localization uses Radio Frequency Identification (RFID) technology to determine object´s position in a specific area. Location identification based on Dynamic Active RFID Calibration (LANDMARC) is a notable technique in which active tags and signal strengths are utilized. In this paper, Linear Minimum Mean Square Error (LMMSE) estimation is employed to improve the accuracy of LANDMARC. The type of tags is also changed to passive one which smaller and cheaper than active tags. The simulation and experimental results show significant improvement over the conventional LANDMARC approach.

Keywords

calibration; least mean squares methods; radiofrequency identification; LANDMARC approach; LMMSE estimation; RFID 2D-localization improvement; linear MMSE estimation; linear minimum mean square error estimation; location identification based on dynamic active RFID calibration; radio frequency identification technology; Computers; Equations; Estimation; Mathematical model; Mean square error methods; Radiofrequency identification; Random variables;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technologies (ISCIT), 2013 13th International Symposium on

Conference_Location

Surat Thani

Print_ISBN

978-1-4673-5578-0

Type

conf

DOI

10.1109/ISCIT.2013.6645837

Filename

6645837