One More Tag Enables Fine-Grained RFID Localization and Tracking

Exploiting radio frequency signals is promising for locating and tracking objects. Prior works focus on per-tag localization, in which each object is attached with one tag. In this paper, we propose a comprehensive localization and tracking scheme by attaching two RFID tags to one object. Instead of...

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Vydané v:IEEE/ACM transactions on networking Ročník 26; číslo 1; s. 161 - 174
Hlavní autori: Xiao, Fu, Wang, Zhongqin, Ye, Ning, Wang, Ruchuan, Li, Xiang-Yang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.02.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Antenna arrays
Antenna calibration
Antenna measurements
Antennas
Calibration
Geometry
hyperbolic positioning
Localization
multipath effect
Radio frequency identification
Radio signals
RFID tags
Tags
Tracking
ISSN:1063-6692, 1558-2566
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Popis
Shrnutí:Exploiting radio frequency signals is promising for locating and tracking objects. Prior works focus on per-tag localization, in which each object is attached with one tag. In this paper, we propose a comprehensive localization and tracking scheme by attaching two RFID tags to one object. Instead of using per-tag localization pattern, adding one-more RFID tag to the object exhibits several benefits: 1) providing rich freedom in RFID reader's antenna spacing and placement; 2) supporting accurate calibration of the reader's antenna location and spacing, and 3) enabling fine-grained calculation on the orientation of the tags. All of these advantages ultimately improve the localization/tracking accuracy. Our extensive experimental results demonstrate that the average errors of localization and orientation of target tags are 6.415 cm and 1.330°, respectively. Our results also verify that the reader's antenna geometry does have impact on tag positioning performance.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1063-6692
1558-2566
DOI:10.1109/TNET.2017.2766526