Performance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antenna
dc.contributor.author | Mohammed, Husham J. | * |
dc.contributor.author | Abdullah, Abdulkareem S. | * |
dc.contributor.author | Ali, R.S. | * |
dc.contributor.author | Abdulraheem, Yasir I. | * |
dc.contributor.author | Abd-Alhameed, Raed | * |
dc.date.accessioned | 2016-07-22T12:39:51Z | |
dc.date.available | 2016-07-22T12:39:51Z | |
dc.date.issued | 2014-08 | |
dc.identifier.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. | en_US |
dc.identifier.uri | http://hdl.handle.net/10454/8680 | |
dc.description | Yes | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.relation.isreferencedby | http://www.journaloftelecommunications.co.uk/volume-27-issue-2-october-2014 | en_US |
dc.rights | © 2014. Reproduced in accordance with the publisher's self-archiving policy. | en |
dc.subject | UWB antenna | en_US |
dc.subject | Bio-inspired algorithms | |
dc.subject | Genetic Algorithm | |
dc.subject | GA | |
dc.subject | Particle Swarm Optimization | |
dc.title | Performance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antenna | en_US |
dc.status.refereed | Yes | en_US |
dc.type | Article | en_US |
dc.type.version | Accepted manuscript | en_US |