Reyhan Sağ Örnek, Osman Kerem Ateş, Ahmet Yahya Boğa, Yahya Danayiyen
{"title":"基于共生生物搜索算法的x波段锥形喇叭天线指向性优化","authors":"Reyhan Sağ Örnek, Osman Kerem Ateş, Ahmet Yahya Boğa, Yahya Danayiyen","doi":"10.1109/GPECOM58364.2023.10175711","DOIUrl":null,"url":null,"abstract":"In this study, optimum values of maximum directivity antenna parameters in a pyramidal horn antenna are determined using the symbiotic organisms search (SOS) algorithm which is an effective metaheuristic optimization method. The design parameters, distance between waveguide and aperture in E-plane, distance between waveguide and aperture in H-plane, flare width and flare height of the pyramid horn antenna are optimally computed using SOS algorithm in MATLAB environment. An optimization function that minimizes the antenna’s diameter and directivity is selected in order to adapt the algorithm to the antenna design. The results of the analysis demonstrate that the SOS algorithm can be an optimal method to design the antenna.","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"X-Band Pyramidal Horn Antenna Directivity Optimization with Symbiotic Organism Search Algorithm\",\"authors\":\"Reyhan Sağ Örnek, Osman Kerem Ateş, Ahmet Yahya Boğa, Yahya Danayiyen\",\"doi\":\"10.1109/GPECOM58364.2023.10175711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, optimum values of maximum directivity antenna parameters in a pyramidal horn antenna are determined using the symbiotic organisms search (SOS) algorithm which is an effective metaheuristic optimization method. The design parameters, distance between waveguide and aperture in E-plane, distance between waveguide and aperture in H-plane, flare width and flare height of the pyramid horn antenna are optimally computed using SOS algorithm in MATLAB environment. An optimization function that minimizes the antenna’s diameter and directivity is selected in order to adapt the algorithm to the antenna design. The results of the analysis demonstrate that the SOS algorithm can be an optimal method to design the antenna.\",\"PeriodicalId\":288300,\"journal\":{\"name\":\"2023 5th Global Power, Energy and Communication Conference (GPECOM)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 5th Global Power, Energy and Communication Conference (GPECOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GPECOM58364.2023.10175711\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GPECOM58364.2023.10175711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this study, optimum values of maximum directivity antenna parameters in a pyramidal horn antenna are determined using the symbiotic organisms search (SOS) algorithm which is an effective metaheuristic optimization method. The design parameters, distance between waveguide and aperture in E-plane, distance between waveguide and aperture in H-plane, flare width and flare height of the pyramid horn antenna are optimally computed using SOS algorithm in MATLAB environment. An optimization function that minimizes the antenna’s diameter and directivity is selected in order to adapt the algorithm to the antenna design. The results of the analysis demonstrate that the SOS algorithm can be an optimal method to design the antenna.