Analysis of an array of four microstrip patch resonators printed on an anisotropic substrate

1995 ◽  
Vol 43 (2) ◽  
pp. 460-463
Author(s):  
Yinchao Chen ◽  
B. Beker
2016 ◽  
Vol 9 (3) ◽  
pp. 613-620
Author(s):  
Lamia Barkat ◽  
Sami Bedra ◽  
Tarek Fortaki ◽  
Randa Bedra

Modeling and design of rectangular microstrip patch printed on isotropic or anisotropic substrate are accomplished in this paper. The use of spectral domain method in conjunction with artificial neural networks (ANNs) to compute the resonant characteristics of rectangular microstrip patch printed on isotropic or anisotropic substrates. The moment method implemented in the spectral domain offers good accurateness, but its computational cost is high owing to the evaluation of the slowly decaying integrals and the iterative nature of the solution process. The paper introduces the electromagnetic knowledge combined with ANN in the analysis of rectangular microstrip antenna on uniaxially anisotropic substrate to reduce the complexity of the spectral domain method and to minimize the CPU time necessary to obtain the numerical results. The numerical comparison between neurospectral and conventional moment methods shows significant improvements in time convergence and computational cost. Hence, the use of neurospectral approach presented here as a promising fast technique in the design of microstrip antennas.


2014 ◽  
Vol 502 ◽  
pp. 70-75 ◽  
Author(s):  
Siham Benkouda ◽  
Abderraouf Messai ◽  
Mounir Amir ◽  
Sami Bedra ◽  
Tarek Fortaki

1999 ◽  
Vol 35 (4) ◽  
pp. 255 ◽  
Author(s):  
F. Bouttout ◽  
F. Benabdelaziz ◽  
A. Benghalia ◽  
D. Khedrouche ◽  
T. Fortaki

2013 ◽  
Vol 7 (6) ◽  
pp. 408-414 ◽  
Author(s):  
Hui Tang ◽  
Jian‐Xin Chen ◽  
Li‐Heng Zhou ◽  
Zhi‐Hua Bao

1996 ◽  
Vol 79 (8) ◽  
pp. 5733
Author(s):  
Kunquan Sun ◽  
Yinchao Chen ◽  
Walter Barry ◽  
John Corlett

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