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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
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Conference papers
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https://hal.inria.fr/hal-01056847
Contributor : Valence Lcis <>
Submitted on : Wednesday, August 20, 2014 - 3:46:07 PM
Last modification on : Friday, November 6, 2020 - 4:37:52 AM

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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, ⟨10.1109/rfid-ta.2010.5529934⟩. ⟨hal-01056847⟩

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