A hybrid approach for optimising the geometry and design of Ultra Wide Band (UWB) antenna

M. Satyanarayana, D. Prabhakar
{"title":"A hybrid approach for optimising the geometry and design of Ultra Wide Band (UWB) antenna","authors":"M. Satyanarayana, D. Prabhakar","doi":"10.1080/1448837X.2021.2023076","DOIUrl":null,"url":null,"abstract":"ABSTRACT This manuscript proposes a novel Ultra Wide Band (UWB) antenna in the dual-band rejection (DBR). The proposed technique is combination of hybridising Cat Swarm Optimisation (CSO) as well as Genetic Algorithm (GA); hence, it is called CSOGA technique. The UWB antenna is structured with 2.9–13.0 GHz frequency and to enhance the matching of impedance. The antenna type with size modification is determined by using optimisation algorithm. To attain the slits as well as strips band rejection in an antenna, the dual-band frequencies are rejected in 3.3–3.6 GHz as well as 5.15–5.825 GHz to band process of WiMAX, WLAN. Here, the efficiency of proposed technique is analysed by 10 standard benchmark functions (BF). The outcomes show that the proposed CSOGA technique gives 94% higher efficiency when likened to other techniques.","PeriodicalId":34935,"journal":{"name":"Australian Journal of Electrical and Electronics Engineering","volume":"32 1","pages":"158 - 170"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Journal of Electrical and Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1448837X.2021.2023076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACT This manuscript proposes a novel Ultra Wide Band (UWB) antenna in the dual-band rejection (DBR). The proposed technique is combination of hybridising Cat Swarm Optimisation (CSO) as well as Genetic Algorithm (GA); hence, it is called CSOGA technique. The UWB antenna is structured with 2.9–13.0 GHz frequency and to enhance the matching of impedance. The antenna type with size modification is determined by using optimisation algorithm. To attain the slits as well as strips band rejection in an antenna, the dual-band frequencies are rejected in 3.3–3.6 GHz as well as 5.15–5.825 GHz to band process of WiMAX, WLAN. Here, the efficiency of proposed technique is analysed by 10 standard benchmark functions (BF). The outcomes show that the proposed CSOGA technique gives 94% higher efficiency when likened to other techniques.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种优化超宽带(UWB)天线几何结构和设计的混合方法
摘要:本文提出了一种新型的超宽带(UWB)双波段抑制(DBR)天线。该技术是混合猫群优化(CSO)和遗传算法(GA)的结合;因此,称为CSOGA技术。UWB天线采用2.9 ~ 13.0 GHz频率结构,增强了阻抗的匹配。采用优化算法确定了尺寸调整后的天线类型。为了实现天线的狭缝带抑制和条形带抑制,在WiMAX、WLAN的3.3-3.6 GHz和5.15-5.825 GHz到带过程中对双频频率进行抑制。通过10个标准基准函数(BF)对所提方法的效率进行了分析。结果表明,与其他技术相比,CSOGA技术的效率提高了94%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Australian Journal of Electrical and Electronics Engineering
Australian Journal of Electrical and Electronics Engineering Engineering-Electrical and Electronic Engineering
CiteScore
2.30
自引率
0.00%
发文量
46
期刊介绍: Engineers Australia journal and conference papers.
期刊最新文献
Optimized sliding mode control for improved frequency response in an Islanded microgrid system Genetic fuzzy rules and hybrid QDCNN-F-DSAE for detecting attacker behavior with tuning of firewall Efficient maximum power point extraction using hybrid optimisation based parameter estimation model of solar double diode model Adaptive order and step-size differential transformation method-based power system transient stability simulation Hybrid model-based approach for oral cancer detection in distributed cloud environment
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1