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Meta-heuristic optimization algorithms for synthesis of reconfigurable hexagonal array antenna in two principle vertical planes

Published online by Cambridge University Press:  26 April 2021

Bitan Misra
Affiliation:
Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India
Gautam Kumar Mahanti
Affiliation:
Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India
Corresponding
E-mail address:

Abstract

This study illustrates the dynamical reconfiguration of a concentric hexagonal antenna array radiation to generate a pencil beam and flat-top beam simultaneously by electronic control in two principle vertical planes under consideration. Both the beams share a common normalized optimal current excitation amplitude distribution while the optimal sets of phase excitation coefficients are varied radically across the hexagons to generate a flat-top beam. The proposed approach is able to solve the underlying multi-objective problem and flexible enough to the efficient implementation of additional design constraints in the considered φ-planes. In this paper, a set of simulation-based examples are presented in an integrated way. The outcomes validate the effectiveness of the stated optimization using meta-heuristic optimization algorithms (teaching–learning-based optimization, symbiotic organism search, multi-verse optimization) to reach the solution globally and prove actual relevance to the concerned applications.

Type
Research Paper
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association

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Meta-heuristic optimization algorithms for synthesis of reconfigurable hexagonal array antenna in two principle vertical planes
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