The Optimum Design of Scanned Linear Antenna Array Using Sine Cosine Optimization Algorithm
In this article, the side lobe level (SLL) of the radiation pattern is reduced, and the first null beam width (FNBW) is kept constant by synthesizing symmetric scanning Linear Antenna Arrays (LAA), which is done by considering excitation amplitude as the optimization parameter. A Sine cosine algorit...
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| Veröffentlicht in: | Wasit Journal of Computer and Mathematics Science Jg. 2; H. 2; S. 87 - 96 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
College of Computer and Information Technology – University of Wasit, Iraq
30.06.2023
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| ISSN: | 2788-5887, 2788-5879, 2788-5879, 2788-5887 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | In this article, the side lobe level (SLL) of the radiation pattern is reduced, and the first null beam width (FNBW) is kept constant by synthesizing symmetric scanning Linear Antenna Arrays (LAA), which is done by considering excitation amplitude as the optimization parameter. A Sine cosine algorithm (SCA) is used to achieve this objective. Three different case studies are illustratedin this article to show the effectiveness of SCA in LAA optimization. The results obtained show that the SCA algorithm performs better than Firefly Algorithm (FA), Symbiotic Organisms Search (SOS), and hybrid optimization algorithm based on Grasshopper Optimization Algorithm (GOA) and Antlion Optimization (ALO) |
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| ISSN: | 2788-5887 2788-5879 2788-5879 2788-5887 |
| DOI: | 10.31185/wjcms.135 |