Title :
RFID tag antenna quick design and optimization by using Artificial Neural Network modeling technique
Author :
Zhang, Ning ; Li, Xiuping
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
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.
Keywords :
UHF antennas; electrical engineering computing; neural nets; optimisation; radiofrequency identification; RFID tag antenna quick design; artificial neural network; bandwidth 90 MHz; critical input-output relationships; microchip impedance; optimization; Antennas; Artificial neural networks; Computational modeling; Data models; Impedance; Optimization; Radiofrequency identification; RFID tag antenna; artificial neural network;
Conference_Titel :
Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8883-4
DOI :
10.1109/YCICT.2010.5713063
