New RFID's chip matching technique using Artificial Neural Networks

P. Lacouth Etienne Perret 1 Glauco Fontgalland 2 Smail Tedjini 1 A. G. D'Assuncao
1 LCIS - Laboratoire de Conception et d'Intégration des Systèmes
2 UFCG
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 RFID UHF Tag
Type de document :
Communication dans un congrès
RFID-Technology and Applications (RFID-TA), 2010 IEEE International Conference on, Jun 2010, Unknown, pp.189-193, 2010, 〈10.1109/rfid-ta.2010.5529934〉
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https://hal.inria.fr/hal-01056847
Contributeur : Valence Lcis <>
Soumis le : mercredi 20 août 2014 - 15:46:07
Dernière modification le : lundi 9 avril 2018 - 12:22:18

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P. Lacouth, Etienne Perret, Glauco Fontgalland, Smail Tedjini, A. G. D'Assuncao. New RFID's chip matching technique using Artificial Neural Networks. RFID-Technology and Applications (RFID-TA), 2010 IEEE International Conference on, Jun 2010, Unknown, pp.189-193, 2010, 〈10.1109/rfid-ta.2010.5529934〉. 〈hal-01056847〉

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