{"title":"一种用于无线通信的cpw馈电方形单极三陷波超宽带天线及其人工智能优化(反向传播模型)","authors":"Nidhi Bhatia, Manish Sharma","doi":"10.1109/Confluence47617.2020.9058272","DOIUrl":null,"url":null,"abstract":"In this communication, a superwideband square monopole antenna is presented. Proposed antenna has also the capability of rejecting three bands namely, WiMAX/C band, WLAN and Downlink Satellite System (DSS) band. Proposed antenna is designed on Arlon AD260A with radiating patch and ground on same plane of substrate and CPW-feed is used. Notched bands are obtained by embedding inverted E-shaped stub, using C-shaped parasitic element above radiating patch and etching rotated L-shaped slot in the ground plane. Optimization of antenna is carried out by training the neural network and is verified by simulator results.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A CPW-Fed Square Monopole Triple Notch Band Superwideband Antenna for Wireless Communication Applications And Optimization by using Artificial Intelligence (Back Propagation Model)\",\"authors\":\"Nidhi Bhatia, Manish Sharma\",\"doi\":\"10.1109/Confluence47617.2020.9058272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this communication, a superwideband square monopole antenna is presented. Proposed antenna has also the capability of rejecting three bands namely, WiMAX/C band, WLAN and Downlink Satellite System (DSS) band. Proposed antenna is designed on Arlon AD260A with radiating patch and ground on same plane of substrate and CPW-feed is used. Notched bands are obtained by embedding inverted E-shaped stub, using C-shaped parasitic element above radiating patch and etching rotated L-shaped slot in the ground plane. Optimization of antenna is carried out by training the neural network and is verified by simulator results.\",\"PeriodicalId\":180005,\"journal\":{\"name\":\"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Confluence47617.2020.9058272\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Confluence47617.2020.9058272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A CPW-Fed Square Monopole Triple Notch Band Superwideband Antenna for Wireless Communication Applications And Optimization by using Artificial Intelligence (Back Propagation Model)
In this communication, a superwideband square monopole antenna is presented. Proposed antenna has also the capability of rejecting three bands namely, WiMAX/C band, WLAN and Downlink Satellite System (DSS) band. Proposed antenna is designed on Arlon AD260A with radiating patch and ground on same plane of substrate and CPW-feed is used. Notched bands are obtained by embedding inverted E-shaped stub, using C-shaped parasitic element above radiating patch and etching rotated L-shaped slot in the ground plane. Optimization of antenna is carried out by training the neural network and is verified by simulator results.