Title :
Intelligent recognition of RFID tag position
Author :
Jo, M. ; Youn, H.Y.
Author_Institution :
SungKyunKwan Univ., Suwon
Abstract :
The antenna height, read field length, and tag direction are very important factors in tag position recognition. Currently, the best tag position on the target objects is found by experimenting all possible cases with a trial-and-error method. Introduced is a method for identifying the best RFID tag position by employing an intelligent tag strength prediction approach using the backpropagation learning algorithm of neural networks. Experiments reveal that the proposed approach gives high prediction accuracy of mostly about 90%.
Keywords :
electrical engineering computing; neural nets; radiofrequency identification; RFID tag position; antenna height; backpropagation learning algorithm; intelligent recognition; intelligent tag strength prediction; neural networks; read field length; tag direction; tag position recognition; trial-and-error method;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20082543