DocumentCode :
2209900
Title :
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
Link To Document :
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