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Linear Antenna Array Synthesis by Modified Seagull Optimization Algorithm     
Yazarlar
Dr. Öğr. Üyesi Erhan KURT
Nuh Naci Yazgan Üniversitesi, Türkiye
Suad Başbuğ
Nevşehir Hacı Bektaş Veli Üniversitesi, Türkiye
Kerim Güney
Nuh Naci Yazgan Üniversitesi, Türkiye
Özet
- This paper presents a study of linear antenna array (LAA) synthesis with a seagull optimization algorithm (SOA) to achieve radiation patterns having low maximum sidelobe levels (MSLs) with and without nulls. The SOA is a new optimization technique based on the moving and attacking behaviors of the seagull in the nature. In this study, the original mathematical model of SOA is modified by compensating the exploration and exploitation features to improve the optimization performance. The optimization ability of the modified SOA (MSOA) is tested with seven numerical examples of LAA. In the first three examples, the amplitude values of the array elements are optimized by MSOA whereas the element position values are calculated by MSOA for the last four examples. The numerical results obtained by MSOA are compared with those of different algorithms from the literature. The results reveal that MSOA algorithm is very good at optimizing antenna array paramedepth levels (NDLs). The contribution of the modificompare with the original one.
Anahtar Kelimeler
Index Terms, antenna array synthesis, linear antenna arrays, maximum sidelobe level, null depth level, seagull optimization algorithm
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı The Applied Computational Electromagnetics Society Journal (ACES)
Dergi ISSN 1054-4887
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 12-2021
Cilt No 36
Sayı 12
Sayfalar 1552 / 1561
Doi Numarası 10.13052/2021.ACES.J.361206
Makale Linki http://dx.doi.org/10.13052/2021.aces.j.361206
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 3
Google Scholar 10
Linear Antenna Array Synthesis by Modified Seagull Optimization Algorithm

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