Abstract
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.
| Original language | English |
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| Title of host publication | Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 316-321 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728105666 |
| DOIs | |
| State | Published - Sep 2019 |
| Externally published | Yes |
| Event | 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 - Granada, Spain Duration: 9 Sep 2019 → 13 Sep 2019 |
Publication series
| Name | Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 |
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Conference
| Conference | 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 |
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| Country/Territory | Spain |
| City | Granada |
| Period | 9/09/19 → 13/09/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Antipodal Vivaldi Antennas
- Ground Penetrating Radar
- Multi-Objective Genetic Algorithm