SIDELOBE REDUCTION OF LINEAR ANTENNA ARRAY BY POSITION-ONLY CONTROL USING NOVEL METAHEURISTIC OPTIMIZATION METHODS

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Durmuş A., Yıldırım Z.

Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, vol.30, no.2, pp.171-179, 2022 (Peer-Reviewed Journal)

• Publication Type: Article / Article
• Volume: 30 Issue: 2
• Publication Date: 2022
• Doi Number: 10.31796/ogummf.1012709
• Journal Name: Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi
• Journal Indexes: TR DİZİN (ULAKBİM)
• Page Numbers: pp.171-179
• Kayseri University Affiliated: Yes

Abstract

In this study, the positions of linear antenna array elements (LAAs) are optimized for antenna design with the desired radiation patterns by using Honey Badger Algorithm (HBA) and Chameleon Swarm Algorithm (CSA) methods, which are the novel metaheuristic algorithms. LAAs with 10, 12, 24, and 32 elements are considered in the simulations. While designing the antenna, the half power beam width (HPBW) of the antenna array is kept at a minimum level and the sidelobe level (SLL) is suppressed as much as possible. In addition, results obtained with the swarm-based metaheuristic algorithms Artificial Bee Colony (ABC) and Particular Swarm Algorithm (PSO) methods, which are quite well known in the literature are compared to test the performance and accuracy of the HBA and CSA methods. As a result of these comparisons, the antenna design with high directivity, gain and desired pattern has been successfully obtained with the HBA and CSA optimization methods.