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Meta-heuristic optimization algorithms for simultaneous optimization of sidelobe level and directivity of uniformly excited concentric ring array antennas

Published online by Cambridge University Press:  09 September 2019

Kailash Pati Dutta Open the ORCID record for Kailash Pati Dutta [Opens in a new window]  and
G. K. Mahanti
Kailash Pati Dutta*
Affiliation:
Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal 713209, India
G. K. Mahanti
Affiliation:
Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal 713209, India
*
Author for correspondence: Kailash Pati Dutta, E-mail: [email protected]
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Abstract

This paper proposes the novel application of three meta-heuristic optimization algorithms namely crow search algorithm, moth flame optimization, and symbiotic organism search algorithm for the synthesis of uniformly excited multiple concentric ring array antennas. The objective of this work is to minimize the sidelobe level (SLL) and maximize the peak directivity simultaneously. Three different cases are demonstrated separately with various constraints such as optimal inter-element spacing and/or optimal ring radii. Comparative study of the algorithms using common parameters such as SLL, directivity, first null beam width, best cost, and run time has been reported. Investigation results prove the superiority of case 3 over other cases in terms of directivity and SLL. This work demonstrates the potential of these algorithms.

Keywords

Concentric ring arrayCrow search algorithmdirectivityMoth flame optimizationsidelobe levelsSymbiotic organism search
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 12 , Issue 2 , March 2020 , pp. 183 - 192
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

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