Title :
New RFID´s chip matching technique using Artificial Neural Networks
Author :
Lacouth, Patric ; Perret, Etienne ; Fontgalland, Glauco ; Tedjini, Smail ; D´Assunção, Adaildo G.
Author_Institution :
Fed. Univ. of Campina Grande, Campina Grande, Brazil
Abstract :
This paper proposes a new technique to modify the original design of a known antenna according to the requirement of a new chip with an input impedance different from the first design This methodology is based on the idea of creating a database with antenna simulations and use Artificial Neural Networks (ANN) as a tool for selection of the appropriated configurations necessary for a better performance.
Keywords :
Antennas and propagation; Application specific integrated circuits; Artificial neural networks; Databases; Dipole antennas; Humans; Impedance; RFID tags; Radiofrequency identification; UHF antennas; Antenna Optimization; Artificial Neural Networks; RFID UHF Tag;
Conference_Titel :
RFID-Technology and Applications (RFID-TA), 2010 IEEE International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
978-1-4244-6698-6
DOI :
10.1109/RFID-TA.2010.5529934