{"title":"基于ANFIS的ku波段紧凑轴向波纹喇叭天线设计与优化","authors":"Gupta Jay Vishnu, Grishma Jani, D. Pujara","doi":"10.1109/APSYM.2016.7929147","DOIUrl":null,"url":null,"abstract":"This paper presents the development of the Adaptive Neuro-Fuzzy Inference System (ANFIS) based CAD tool for designing an axially corrugated horn antenna, which has proved its dominance as a feed for the applications where small aperture antennas are being considered. In this paper, the design and optimization of a Ku-band compact corrugated horn antenna is demonstrated using the ANFIS technique. The performance in terms of radiation pattern, peak gain and return loss of a horn designed using the ANFIS algorithm is compared with that of a horn designed using the commercially available antenna design software. The results of the horn designed by ANFIS were found accurate and attained within a short processing time and with limited computational resources as compared to the conventional horn design techniques.","PeriodicalId":104746,"journal":{"name":"2016 International Symposium on Antennas and Propagation (APSYM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Design and optimization of a Ku-band compact axial corrugated horn antenna using ANFIS\",\"authors\":\"Gupta Jay Vishnu, Grishma Jani, D. Pujara\",\"doi\":\"10.1109/APSYM.2016.7929147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the development of the Adaptive Neuro-Fuzzy Inference System (ANFIS) based CAD tool for designing an axially corrugated horn antenna, which has proved its dominance as a feed for the applications where small aperture antennas are being considered. In this paper, the design and optimization of a Ku-band compact corrugated horn antenna is demonstrated using the ANFIS technique. The performance in terms of radiation pattern, peak gain and return loss of a horn designed using the ANFIS algorithm is compared with that of a horn designed using the commercially available antenna design software. The results of the horn designed by ANFIS were found accurate and attained within a short processing time and with limited computational resources as compared to the conventional horn design techniques.\",\"PeriodicalId\":104746,\"journal\":{\"name\":\"2016 International Symposium on Antennas and Propagation (APSYM)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Symposium on Antennas and Propagation (APSYM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSYM.2016.7929147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Antennas and Propagation (APSYM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSYM.2016.7929147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and optimization of a Ku-band compact axial corrugated horn antenna using ANFIS
This paper presents the development of the Adaptive Neuro-Fuzzy Inference System (ANFIS) based CAD tool for designing an axially corrugated horn antenna, which has proved its dominance as a feed for the applications where small aperture antennas are being considered. In this paper, the design and optimization of a Ku-band compact corrugated horn antenna is demonstrated using the ANFIS technique. The performance in terms of radiation pattern, peak gain and return loss of a horn designed using the ANFIS algorithm is compared with that of a horn designed using the commercially available antenna design software. The results of the horn designed by ANFIS were found accurate and attained within a short processing time and with limited computational resources as compared to the conventional horn design techniques.