<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this study, a modified version of salp swarm algorithm (MSSA) is used to synthesize elliptical antenna arrays (EAAs). The original salp swarm algorithm (SSA) is an optimization algorithm inspired by the behavior of salps in nature, which is used to solve engineering problems. The main purpose of the synthesis in this study is to obtain an EAA pattern with low maximum sidelobe levels (MSLs) for a fixed narrow first null beamwidth (FNBW). For different examples, the amplitude and angular position values of the antenna array elements are considered as optimization parameters. To show the effectiveness of the MSSA, eight examples of EAAs with 8, 12, and 20 elements are given. The results obtained with MSSA are compared with those of the antlion optimization, symbiotic organizations search, flower pollination algorithm, and accelerated particle swarm optimization from the literature. It is clear from the numerical results that MSSA outperforms the other algorithms in terms of the suppression of MSL.</p>
</abstract>

In this study, a modified version of salp swarm algorithm (MSSA) is used to synthesize elliptical antenna arrays (EAAs). The original salp swarm algorithm (SSA) is an optimization algorithm inspired by the behavior of salps in nature, which is used to solve engineering problems. The main purpose of the synthesis in this study is to obtain an EAA pattern with low maximum sidelobe levels (MSLs) for a fixed narrow first null beamwidth (FNBW). For different examples, the amplitude and angular position values of the antenna array elements are considered as optimization parameters. To show the effectiveness of the MSSA, eight examples of EAAs with 8, 12, and 20 elements are given. The results obtained with MSSA are compared with those of the antlion optimization, symbiotic organizations search, flower pollination algorithm, and accelerated particle swarm optimization from the literature. It is clear from the numerical results that MSSA outperforms the other algorithms in terms of the suppression of MSL.

Sidelobe level suppression for elliptical antenna arrays using modified SALP swarm algorithm

Department of Electrical and Electronics Engineering

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In this study, a modified version of salp swarm algorithm (MSSA) is used to synthesize elliptical antenna arrays (EAAs). The original salp swarm algorithm...

Sidelobe level suppression for elliptical antenna arrays using modified SALP swarm algorithm

Publié en ligne: 15 nov. 2022

Pages: 325 - 331

Reçu: 01 oct. 2022

DOI: https://doi.org/10.2478/jee-2022-0043

Mots clés
elliptical antenna array, salp swarm algorithm, sidelobe level suppression

© 2022 Erhan Kurt et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Sidelobe level suppression for elliptical antenna arrays using modified SALP swarm algorithm

Publié en ligne: 15 nov. 2022

Pages: 325 - 331

Reçu: 01 oct. 2022

DOI: https://doi.org/10.2478/jee-2022-0043

Mots cléselliptical antenna array, salp swarm algorithm, sidelobe level suppression

© 2022 Erhan Kurt et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
elliptical antenna array, salp swarm algorithm, sidelobe level suppression