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    Performance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antenna

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    Publication date
    2014-08
    Author
    Mohammed, Husham J.
    Abdullah, Abdulkareem S.
    Ali, R.S.
    Abdulraheem, Yasir I.
    Abd-Alhameed, Raed A.
    Keyword
    UWB antenna; Bio-inspired algorithms; Genetic Algorithm (GA); Particle Swarm Optimization (PSO)
    Rights
    © 2014. Reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    
    Metadata
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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.
    URI
    http://hdl.handle.net/10454/8680
    Version
    Accepted Manuscript
    Citation
    Mohammed HJ, Abdullah AS, Ali RS, Abdulraheem YI and Abd-Alhameed RA (2014) Performance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antenna. Journal of Telecommunications, 27 (2): 22-26.
    Link to publisher’s version
    http://www.journaloftelecommunications.co.uk/volume-27-issue-2-october-2014
    Type
    Journal article
    Collections
    Engineering and Informatics Publications

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