| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 4, Number 1, January 2010
|
|
|---|---|---|
| Page(s) | 7 - 10 | |
| DOI | https://doi.org/10.1051/ijsmdo/2010002 | |
| Published online | 21 July 2011 | |
Optimization of superconducting antenna arrays using RBF neural network
Electronics Department, University of Constantine, 25000 Constantine, Algeria
Corresponding author: barkatwarda@yahoo.fr
Received:
10
December
2009
Accepted:
15
February
2010
In this work, RBF neural network is used to optimize the radiation pattern of non-uniform linear arrays of High superconducting rectangular microstrip antennas, on uniaxial anisotropic substrate. Using superconductors can reduce the insertion loss, and obtain a rather high gain. The full-wave method is used to computing the resonant frequency, and radiation pattern of superconducting rectangular antennas. Galerkin method is used to obtain feasible solutions, for the array by matching the desired Di and actual array patterns Fi. The results obtained from the simulation show that we reached our goals by a great degree of validity.
Key words: Superconducting rectangular / Antenna array / Full-wave / Radiation pattern / RBF Neural network
© ASMDO, 2010
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