DocumentCode :
3416605
Title :
Optimization of microstrip patch antenna using Particle swarm optimization with curve fitting
Author :
Islam, Mohammad Tariqul ; Misran, Norbahiah ; Take, Tan Chuen ; Moniruzzaman, Mohd
Author_Institution :
Inst. of Space Sci. (ANGKASA), Univ. Kebangsaan Malaysia, Bangi, Malaysia
Volume :
02
fYear :
2009
fDate :
5-7 Aug. 2009
Firstpage :
711
Lastpage :
714
Abstract :
An optimization technique for microstrip patch antenna using particle swarm optimization (PSO) with curve fitting is introduced in this paper. An inverted E-shaped microstrip patch antenna designed for IMT-2000 band is utilized to demonstrate the optimization technique. The data for curve fitting is obtained from Zealand IE3D software by varying different geometrical parameters of the antenna. Using the data, the equations representing the relationship among different parameters of a microstrip antenna are generated. Graphmatica curve fitting software was used to generate the curve. The PSO program was developed and executed in MATLAB and finally the optimized antenna was simulated in Zealand IE3D. Comparison between conventional antenna and curve fitting based PSO optimized antenna showed remarkable improvement over bandwidth. For the inverted E-shaped microstrip patch antenna, the bandwidth increased by 15%.
Keywords :
curve fitting; microstrip antennas; particle swarm optimisation; IMT-2000 band; PSO program; Zealand IE3D software; curve fitting; inverted E-shaped antenna design; microstrip patch antenna optimization; particle swarm optimization; Bandwidth; Curve fitting; Design optimization; MATLAB; Microstrip antennas; Microstrip components; Modeling; Particle swarm optimization; Particle tracking; Patch antennas; Particle swarm optimization; curve fitting; inverted E-shaped; microstrip patch antenna;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Informatics, 2009. ICEEI '09. International Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4244-4913-2
Type :
conf
DOI :
10.1109/ICEEI.2009.5254724
Filename :
5254724
Link To Document :
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