Resumen
In the this contribution, a Multi-Objective Genetic Algorithm (MOGA) was implemented to analyze, design and optimize several Antipodal Vivaldi Antennas (AVA) that are being used on Ground Penetration Radars (GPR) applications. This algorithm was implemented and used as an optimization tool in a commercial available software. Directivity, lower cutoff frequency (LCF), bandwidth and cross-polarization were the objectives to be optimized. For the use of the MOGA, the 3D model of the antenna is built in the simulator. Some of its parameters are defined as variables, as the dimensions and shape of the antenna (Individual) depend on the value that its parameters (Genes) take. This work proves to be simple and time saving tool to optimize parameters in a geometry changing system as GPR.
Idioma original | Inglés |
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Título de la publicación alojada | Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 316-321 |
Número de páginas | 6 |
ISBN (versión digital) | 9781728105666 |
DOI | |
Estado | Publicada - set. 2019 |
Publicado de forma externa | Sí |
Evento | 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 - Granada, Espana Duración: 9 set. 2019 → 13 set. 2019 |
Serie de la publicación
Nombre | Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 |
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Conferencia
Conferencia | 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 |
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País/Territorio | Espana |
Ciudad | Granada |
Período | 9/09/19 → 13/09/19 |
Nota bibliográfica
Publisher Copyright:© 2019 IEEE.