Abstract
Developments in artificial intelligence directly affect various fields of science. This is especially important in the solution of higher-order models and systems that do not have an exact equation. Due to the difficulties in modeling electromagnetic systems, artificial intelligence-based studies have a special importance in this field. In this study, the multidimensional optimization of a compact microstrip monopole antenna that can be used in next generation communication applications is studied with a new artificial intelligence algorithm, the red fox algorithm. Thus, a compact microstrip antenna with broadband (8.75 GHz - 11.25 GHz) radiation at 10 GHz resonant frequency is designed for X-Band applications.
| Translated title of the contribution | Optimization of Compact Microstrip Monopole Antenna Parameters with NS-RFO and Artificial Intelligence in Antenna Design |
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| Original language | Turkish |
| Title of host publication | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350388961 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Mersin, Turkey Duration: 15 May 2024 → 18 May 2024 |
Publication series
| Name | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings |
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Conference
| Conference | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 |
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| Country/Territory | Turkey |
| City | Mersin |
| Period | 15/05/24 → 18/05/24 |
Bibliographical note
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