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| Titre: | Development of non-conventional super-UWB antenna based on genetic algorithm optimization |
| Auteur(s): | Fertas, Khelil
Fertas, Fouad
Maamria, Tarek |
| Mots-clés: | Genetic Algorithm Optimization (GAO)
Non-conventional DGS filter
Super-Ultra Wide Band (SUWB) |
| Date de publication: | 2023 |
| Editeur: | Institute of Electrical and Electronics Engineers Inc |
| Collection/Numéro: | International Conference on Electromagnetics in Advanced Applications/ 2023 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), Venice, Italy, 2023, pp. 052-055 |
| Résumé: | This paper presents, an improved applied approach using genetic algorithm optimization for super-ultra wide band antenna. The intended antenna is optimized to operate from 2.8 GHz to more than 40 GHz and suggested for UWB wireless communications include 5G applications. Improving the impedance bandwidth is achieved by optimizing appropriate non-conventional defected ground structure (DGS) filter. The optimized non-conventional filter consists of a matrix of rectangular shapes where each one is allocated by either conducting or non-conducting property. The process is based in a code developed using visual basic script of CST microwave studio. Additionally, the optimized form can be automatically achieved without designer intervention. The simulated results for reflexion coefficient, current distribution, radiation pattern and gain are presented and discussed |
| URI/URL: | 10.1109/APWC57320.2023.10297516
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/12797
https://ieeexplore.ieee.org/document/10297516 |
| ISBN: | 979-835032060-2 |
| Collection(s) : | Communications Internationales
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