Synthesis of Linear, Planar, and Concentric Circular Antenna Arrays Using Rao Algorithms

Jaya Lakshmi Ravipudi
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Jaya Lakshmi Ravipudi: University of Trento, Italy

International Journal of Applied Evolutionary Computation (IJAEC), 2020, vol. 11, issue 3, 31-49

Abstract: The aim of this paper is to display the efficacy of three newly proposed optimization algorithms named as Rao-1, Rao-2, and Rao-3 in synthesizing antenna arrays. The algorithms are applied to three different antenna array configurations. Thinned arrays with isotropic radiators are considered and the main objective is to find the optimal configuration of ON/OFF elements that produce low side lobe levels. The results of Rao-1, Rao-2, and Rao-3 algorithms are compared with those of improved genetic algorithm (IGA), hybrid Taguchi binary particle swarm optimization (HTBPSO), teaching-learning-based optimization (TLBO), the firefly algorithm (FA), and biogeography-based optimization (BBO). The Rao-1, Rao-2, and Rao-3 algorithms were able to realize antenna arrays having lower side lobe levels (SLL) when compared to the other optimization algorithms.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:11:y:2020:i:3:p:31-49

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