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Research Articles

Optimization of the performance of patch antennas using genetic algorithms

Authors:

JMJW Jayasinghe ,

LK
About JMJW
Department of Electronics, Faculty of Applied Sciences, Wayamba University of Sri Lanka, Kuliyapitiya
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DN Uduwawala

LK
About DN
Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya
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Abstract

Patch antenna is a widely used antenna type in many applications. These antennas are low-profile, cheap, conformable to planar and non planar surfaces, simple to fabricate using printed circuit technology and compatible with monolithic microwave integrated circuit (MMIC) designs. However, their narrow bandwidth and low efficiency are the major drawbacks. In this study, genetic algorithm optimization (GAO) method was used to design the shape of the patch, feed position, thickness of the dielectric substrate and the substrate material simultaneously in order to optimize both bandwidth and gain. It was found that thin broadband fragmented single probe feed patch antennas with -10 dB impedance bandwidths up to almost 2:1 can be easily designed using GAO. The antennas were simulated using high frequency structure simulator (HFSS) and the results were validated using measurements.

DOI: http://dx.doi.org/10.4038/jnsfsr.v41i2.5705

J.Natn.Sci.Foundation Sri Lanka 2013 41(2):113-120

How to Cite: Jayasinghe, J. and Uduwawala, D., 2013. Optimization of the performance of patch antennas using genetic algorithms. Journal of the National Science Foundation of Sri Lanka, 41(2), pp.113–120. DOI: http://doi.org/10.4038/jnsfsr.v41i2.5705
Published on 26 Jun 2013.
Peer Reviewed

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