S. Radiom, H. Aliakbarian, G. Vandenbosch, G. Gielen
{"title":"A modified small-size tapered monopole antenna for UWB applications designed by genetic algorithm","authors":"S. Radiom, H. Aliakbarian, G. Vandenbosch, G. Gielen","doi":"10.1109/RWS.2008.4463494","DOIUrl":null,"url":null,"abstract":"In this paper, a modified small-size tapered monopole antenna is optimized for ultra wideband applications. Our optimization procedure aims at finding an antenna not only with low VSWR, but also miniaturizing the antenna at the same time. In addition, since in UWB communication pulse distortion between the receiver and the transmitter is very crucial the impulse responses of the designed antennae were considered. The optimization technique proposed here is a real-coded compact genetic algorithm, RCCGA, based on the probability density function of each variable. The final design of the antenna works from 3.1 to 11.7 GHz with 48% lower area compared to previous work.","PeriodicalId":431471,"journal":{"name":"2008 IEEE Radio and Wireless Symposium","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Radio and Wireless Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2008.4463494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper, a modified small-size tapered monopole antenna is optimized for ultra wideband applications. Our optimization procedure aims at finding an antenna not only with low VSWR, but also miniaturizing the antenna at the same time. In addition, since in UWB communication pulse distortion between the receiver and the transmitter is very crucial the impulse responses of the designed antennae were considered. The optimization technique proposed here is a real-coded compact genetic algorithm, RCCGA, based on the probability density function of each variable. The final design of the antenna works from 3.1 to 11.7 GHz with 48% lower area compared to previous work.