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Performance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antenna
Mohammed, Husham J. Abdullah, Abdulkareem S. Ali, R.S. Abdulraheem, Yasir I.
Mohammed, Husham J.
Abdullah, Abdulkareem S.
Ali, R.S.
Abdulraheem, Yasir I.
Publication Date
2014-08
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© 2014. Reproduced in accordance with the publisher's self-archiving policy.
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Accepted for publication
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Abstract
An efficient multi-object evolutionary algorithms are proposed for optimizing frequency characteristics of antennas based on an interfacing created by Matlab environment. This interface makes a link with CST Microwave studio where the electromagnetic investigation of antenna is realized. Very small, compact printed monopole antenna is optimized for ultra- wideband (UWB) applications. Two objective functions are introduced; the first function intends to increase the impedance bandwidth, and second function to tune the antenna to resonate at a particular frequency. The two functions operate in the range of 3.2 to 10.6 GHz and depend on the level of return loss. The computed results provide a set of proper design for UWB system in which the bandwidth achieved is 7.5GHz at the resonance frequency 4.48GHz, including relatively stable gain and radiation patterns across the operating band.
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Accepted manuscript
Citation
Mohammed HJ, Abdullah AS, Ali RS et al (2014) Performance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antenna. Journal of Telecommunications. 27(2): 22-26.
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Article