Application of the Locally Corrected NystrÖm Method to the EFIE for the Linear Dipole Antenna

2004 ◽  
Vol 52 (2) ◽  
pp. 603-605 ◽  
Author(s):  
A.F. Peterson
Author(s):  
Bing Xiao ◽  
Hang Wong ◽  
Yichen Wei ◽  
Lawrence K. Yeung

2017 ◽  
Vol 234 ◽  
pp. 116-125 ◽  
Author(s):  
Jiangang Wu ◽  
Lizhong Ding ◽  
Shizhong Liao

2016 ◽  
Vol 20 (5) ◽  
pp. 997-1019 ◽  
Author(s):  
Arik Nemtsov ◽  
Amir Averbuch ◽  
Alon Schclar

2020 ◽  
Vol 148 ◽  
pp. 107701
Author(s):  
César Bublitz ◽  
Fabio S. de Azevedo ◽  
Esequia Sauter

2020 ◽  
pp. 004051752094890
Author(s):  
Yong Zhang ◽  
Jiyong Hu ◽  
Xiong Yan ◽  
Xudong Yang

This paper describes the design of a novel ultrahigh frequency radio frequency identification (UHF RFID) tag thread that mainly consisted of the common yarn and the normal mode helix dipole antenna. The linear dipole antenna for the UHF RFID tag thread was too long to miniaturize the tag. In order to maximize the read performance and miniaturize the size of the tag, the basic antenna structure parameters, such as the helical pitch and single arm length, were optimized by analyzing the radiation parameter S11 of the normal mode helix dipole antenna based on simulation experiments. The simulation experiments started with optimizing the single arm length to obtain the minimum of the S11 parameter at resonant frequency, then the helical pitch was further optimized to limit the resonant frequency to the UHF range. The simulation results showed the resonant frequency rises with an increase of helical pitch and declines with an increase of single arm length. Furthermore, a series of UHF RFID tag threads with good performance from the simulation cases were prepared, and the performance of the optimized tag was validated. Generally, the UHF RFID tag thread with optimized helix dipole antenna could reduce the axial length of the tag by 57% and improve the reading range by 500%, and its performance was greatly superior to that of the UHF RFID tag thread with the classical linear dipole antenna.


2018 ◽  
Vol 129 ◽  
pp. 9-15 ◽  
Author(s):  
Liangchi Li ◽  
Shenling Wang ◽  
Shuaijing Xu ◽  
Yuqi Yang

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