DocumentCode
612295
Title
An analytical model for electromagnetically coupled UHF RFID sensor tags
Author
Jinlan Gao ; Siden, J. ; Nilsson, H.
Author_Institution
Dept. of Inf. Technol. & Media, Mid Sweden Univ., Sundsvall, Sweden
fYear
2013
fDate
April 30 2013-May 2 2013
Firstpage
66
Lastpage
73
Abstract
This paper presents an analytical model for electromagnetically coupled UHF RFID sensor tags where a coupling loop with an embedded sensor is attached to an ordinary UHF RFID tag with a small gap. Electromagnetic coupling is used, in this case, to modulate the properties of the tag antenna in proportion to the values of the embedded sensor. The antenna together with the coupling loop are represented as an equivalent circuit and the analysis of the sensor tag becomes a circuit-level calculation after extracting parameters from full-wave simulations for, respectively, the separated dipole antenna and coupling loop. The results calculated from the equivalent circuit model are compared with the results from full-wave simulations and show good agreement. The presented model can thus be used for analyzing and predicting the behavior of electromagnetically coupled sensor tags. Based on the analysis with the presented model, the methods for optimizing the sensory performance of this kind of RFID sensor tags are also presented in this paper.
Keywords
UHF devices; dipole antennas; electromagnetic coupling; equivalent circuits; radiofrequency identification; analytical model; circuit-level calculation; coupling loop; electromagnetically coupled UHF RFID sensor tags; embedded sensor; equivalent circuit; full-wave simulations; sensory performance; separated dipole antenna; Couplings; Dipole antennas; Equivalent circuits; Impedance; Integrated circuit modeling; Radiofrequency identification;
fLanguage
English
Publisher
ieee
Conference_Titel
RFID (RFID), 2013 IEEE International Conference on
Conference_Location
Penang
Print_ISBN
978-1-4673-5748-7
Electronic_ISBN
978-1-4673-5749-4
Type
conf
DOI
10.1109/RFID.2013.6548137
Filename
6548137
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