An optimal concentric circular antenna array design using atomic orbital search for communication systems

Author:

Durmus Ali1ORCID,Yildirim Zafer12ORCID,Kurban Rifat3ORCID,Karakose Ercan4ORCID

Affiliation:

1. Department of Electrical-Electronics Engineering , 564835 Faculty of Engineering Architecture and Design, Kayseri University , Kayseri , Türkiye

2. Department of Electronics and Automation , 162338 Vocational School of Bogazlıyan, Yozgat Bozok University , Yozgat , Türkiye

3. Department of Computer Engineering , 346448 Engineering Faculty, Abdullah Gul University , Kayseri , Türkiye

4. Department of Natural Sciences , 564835 Faculty of Engineering Architecture and Design, Kayseri University , Kayseri , Türkiye

Abstract

Abstract In this study, optimum radiation patterns of Concentric Circular Antenna Arrays (CCAAs) are obtained by using the Atomic Orbital Search (AOS) algorithm for communication spectrum. Communication systems stands as a nascent technological innovation poised to revolutionize the landscape of wireless communication systems. It distinguishes itself through its hallmark features, notably an exceptionally high data transmission rate, expanded network capacity, minimal latency, and a commendable quality of service. The most important issue in wireless communication is a precision antenna array design. The success of this design depends on suppressing the maximum sidelobe levels (MSLs) values of the antenna in the far-field radiation region as much as possible. The AOS, which is a rapid and flexible search algorithm, is a novel physics-based algorithm. The amplitudes and inter-element spacing of CCAAs are optimally determined by utilizing AOS to the reduction of the MSLs. In this study, CCAAs with three and four rings are considered. The number of elements of these CCAAs has been determined as 4–6–8, 8–10–12 and 6–12–18–24. The radiation patterns obtained with AOS are compared with the results available in the literature and it is seen that the results of the AOS method are better.

Publisher

Walter de Gruyter GmbH

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