{"title":"Novel reconfigurable 8 - shape PIFA antenna using PIN diode","authors":"Trong Duc Nguyen, Y. Duroc, V. Y. Vu, T. Vuong","doi":"10.1109/ATC.2011.6027483","DOIUrl":null,"url":null,"abstract":"A frequency reconfigurable Planar Inverted-F Antenna (RPIFA) antenna is proposed. From an initial 8-shape patch antenna by connecting or disconnecting one or more PIN diode, ten different structures are obtained. Corresponding to ten different geometries such as I-shape patch, U-shape patch, E-shape patch, etc, the antenna can be tuned in two frequency bands from 2GHz to 3GHz and from 4GHz to 7GHz. The novel RPIFA antenna is designed and optimized using Genetic Algorithm (GA) and then it is implemented on FR4 substrate. The simulation and measurement results of antenna parameters are compared to show the performance of the developed antenna.","PeriodicalId":221905,"journal":{"name":"The 2011 International Conference on Advanced Technologies for Communications (ATC 2011)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2011 International Conference on Advanced Technologies for Communications (ATC 2011)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATC.2011.6027483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
A frequency reconfigurable Planar Inverted-F Antenna (RPIFA) antenna is proposed. From an initial 8-shape patch antenna by connecting or disconnecting one or more PIN diode, ten different structures are obtained. Corresponding to ten different geometries such as I-shape patch, U-shape patch, E-shape patch, etc, the antenna can be tuned in two frequency bands from 2GHz to 3GHz and from 4GHz to 7GHz. The novel RPIFA antenna is designed and optimized using Genetic Algorithm (GA) and then it is implemented on FR4 substrate. The simulation and measurement results of antenna parameters are compared to show the performance of the developed antenna.