DocumentCode
24860
Title
Item-Level RFID Tag Location Sensing Utilizing Reader Antenna Spatial Diversity
Author
Shuai Shao ; Burkholder, Robert J.
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
Volume
13
Issue
10
fYear
2013
fDate
Oct. 2013
Firstpage
3767
Lastpage
3774
Abstract
A robust estimation procedure for sensing the locations of passive UHF radio frequency identification (RFID) tags is introduced based on spatial deployment of the reader antennas for maximum signal diversity. A signal model is developed for the received signal strength indicator seen by each reader antenna and incorporated into a mean-square error testing function. The error function is minimized at each test point in the interrogation zone to find the point with the minimum mean-square error. The minimization is independent of the tag type and orientation, making the proposed method very robust compared with other methods that are based on reference tags and radio maps. Experimental results are presented for a realistic retail scenario with multiple tagged items achieving an estimation accuracy of 35 cm. The location sensing system uses conventional UHF RFID readers, antennas, and passive tags, providing additional capability to existing item-level RFID systems. This added value will help to offset the high cost of large-scale RFID infrastructure development.
Keywords
mean square error methods; radiofrequency identification; RFID infrastructure development; UHF RFID reader; error function minimisation; estimation procedure; interrogation zone; item-level RFID tag location sensing; location sensing system; maximum signal diversity; mean-square error testing function; minimum mean-square error; passive UHF radio frequency identification tag; passive tag; radio maps; reader antenna spatial diversity; reference tags; signal strength indicator; spatial deployment; RFID; RSSI; UHF; estimation; item-level; localization;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2013.2272216
Filename
6553257
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