{"title":"基于遗传算法的非等间距线性天线阵列综合","authors":"Yanfei Li, W. Hong, Mingde Li, Guizhen Lu","doi":"10.1109/IWAT.2018.8379186","DOIUrl":null,"url":null,"abstract":"The analysis for the assembling of non-uniform, linear arrays based on Genetic Algorithm is presented. The GA optimization techniques generate the locations of the elements for reducing the side-lobe level. Results are presented for the placement of 20 elements under the design of a 15.5 λ. linear array. The scanning properties of the designed arrays are also investigated. According to the optimized results, patch antenna arrays are simulated by Ansys HFSS software to verify the optimization technique.","PeriodicalId":212550,"journal":{"name":"2018 International Workshop on Antenna Technology (iWAT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Unequally spaced linear antenna arrays synthesis based on genetic algorithm\",\"authors\":\"Yanfei Li, W. Hong, Mingde Li, Guizhen Lu\",\"doi\":\"10.1109/IWAT.2018.8379186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis for the assembling of non-uniform, linear arrays based on Genetic Algorithm is presented. The GA optimization techniques generate the locations of the elements for reducing the side-lobe level. Results are presented for the placement of 20 elements under the design of a 15.5 λ. linear array. The scanning properties of the designed arrays are also investigated. According to the optimized results, patch antenna arrays are simulated by Ansys HFSS software to verify the optimization technique.\",\"PeriodicalId\":212550,\"journal\":{\"name\":\"2018 International Workshop on Antenna Technology (iWAT)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Workshop on Antenna Technology (iWAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWAT.2018.8379186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Workshop on Antenna Technology (iWAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWAT.2018.8379186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unequally spaced linear antenna arrays synthesis based on genetic algorithm
The analysis for the assembling of non-uniform, linear arrays based on Genetic Algorithm is presented. The GA optimization techniques generate the locations of the elements for reducing the side-lobe level. Results are presented for the placement of 20 elements under the design of a 15.5 λ. linear array. The scanning properties of the designed arrays are also investigated. According to the optimized results, patch antenna arrays are simulated by Ansys HFSS software to verify the optimization technique.
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