RFID tag antenna quick design and optimization by using Artificial Neural Network modeling technique

Ning Zhang Ning Zhang,Xiuping Li Xiuping Li

doi:10.1109/ycict.2010.5713063

RFID tag antenna quick design and optimization by using Artificial Neural Network modeling technique

Ning Zhang Ning Zhang, Xiuping Li Xiuping Li

https://doi.org/10.1109/ycict.2010.5713063

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Publication Date: Nov 1, 2010

Citations: 1

Affiliation: Beijing University of Posts and Telecommunications

#Artificial Neural Network Modeling Technique #Artificial Neural Network Model + Show 8 more

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Abstract

This paper presents RFID tag antenna quick design and optimization of by using the Artificial Neural Network (ANN) modeling technique. The proposed antenna presents at least 90MHz (840∼930MHz) bandwidth for microchip impedance between (10-j50) Ω and (40-j300) Ω under the condition of return loss less than −10dB by changing the antenna's two key parameters. These two key parameters are used to capture critical input-output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient in the design and optimization of the RFID tag antenna.

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