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Maximizing main-lobe to the side-lobe level for the non-uniform chaos game planar antenna array using an IWO algorithm

Published online by Cambridge University Press:  12 December 2012

Ahmed Najah Jabbar ,
Ali Shaban Hasooni  and
Muthana Khallil Ibrahim
Ahmed Najah Jabbar*
Affiliation:
Department of Electric Engineering, University of Babylon, Iraq
Ali Shaban Hasooni
Affiliation:
Department of Electric Engineering, University of Babylon, Iraq
Muthana Khallil Ibrahim
Affiliation:
Department of Electric Engineering, University of Babylon, Iraq
*
Corresponding author: A.N. Jabbar Email: [email protected]
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Abstract

In this study, we present the implementation of invasive weed optimization (IWO) in the maximization of main-lobe to side-lobe level for the non-uniform planar antenna array. The antenna arrays investigated in this study are generated using the chaos game algorithm (CGA) and shaped into selected fractal geometries chosen on the basis of their interesting performance. This CGA is picked out in order to overcome the limitations found in the fractal arrays. All the attained results are compared with the results produced by a well-known optimization algorithm that is the particle swarm optimization (PSO). In all the optimized arrays, IWO shows superior optimization results compared with PSO.

Keywords

IWONon-uniform planar antenna arrayAntenna array optimizationEvolutionary optimization algorithmPSOChaos game
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 4 , Issue 6 , December 2012 , pp. 635 - 646
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2012

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