Linear Antenna Array Synthesis by Modified Seagull Optimization Algorithm
     
Yazarlar (3)
Dr. Öğr. Üyesi Erhan KURT T. C. Nuh Naci Yazgan Üniversitesi, Türkiye
Suad Başbuğ Nevşehir Haci Bektaş Veli Üniversitesi, Türkiye
Kerim Güney T. C. Nuh Naci Yazgan Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Applied Computational Electromagnetics Society Journal (Q4)
Dergi ISSN 1054-4887 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 12-2021
Cilt / Sayı / Sayfa 36 / 12 / 1552–1561 DOI 10.13052/2021.ACES.J.361206
Makale Linki http://dx.doi.org/10.13052/2021.aces.j.361206
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