Design of broadband patch antennas using genetic algorithm optimization

Author

Jayasinghe, J.M.J.W. ; Uduwawala, D.N.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Peradeniya, Peradeniya, Sri Lanka

fYear

2010

fDate

July 29 2010-Aug. 1 2010

Firstpage

60

Lastpage

65

Abstract

Patch antennas are cheap, simple, robust, inexpensive and compatible with MMIC designs. But the narrow bandwidth and low efficiency are the major drawbacks. Nowadays, the patch antenna is a widely used antenna type in many applications such as cellular phones, pagers, satellite communication and missiles. In this research, Genetic Algorithm optimization (GAO) method is used to design the shape of the patch, thickness of the dielectric substrate and the permittivity of the substrate in order to optimize the bandwidth performance and gain of center feed patch antennas. It is found that thin broadband fragmented single probe feed patch antennas with fractional bandwidths up to 51% can be easily designed using GAO.

Keywords

broadband antennas; genetic algorithms; microstrip antennas; broadband patch antennas; dielectric substrate; genetic algorithm optimization; permittivity; Bandwidth; Broadband antennas; Patch antennas; Permittivity; Shape; Substrates; Bandwidth; Dielectric substrate; Gain; Genetic algorithm optimization; Patch antenna; Permittivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2010 International Conference on

Conference_Location

Mangalore

Print_ISBN

978-1-4244-6651-1

Type

conf

DOI

10.1109/ICIINFS.2010.5578733

Filename

5578733