Optimization of Compact Microstrip Monopole Antenna Parameters with NS-RFO and Artificial Intelligence in Antenna Design
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2024 IEEE.
Açıklama
Berdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus University
32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235
32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235
Anahtar Kelimeler
5G, 6G, optimization, pareto, RFO
Kaynak
32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
