基于遗传算法的非等间距线性天线阵列综合

2018 International Workshop on Antenna Technology (iWAT) Pub Date : 2018-03-01 DOI:10.1109/IWAT.2018.8379186

Yanfei Li, W. Hong, Mingde Li, Guizhen Lu

{"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}

引用次数: 8

摘要

提出了一种基于遗传算法的非均匀线性阵列装配分析方法。遗传算法优化技术生成了降低旁瓣电平的单元位置。在15.5 λ的设计下，给出了20个元件的放置结果。线性阵列。研究了所设计阵列的扫描特性。根据优化结果，利用Ansys HFSS软件对贴片天线阵列进行了仿真，验证了优化技术的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 International Workshop on Antenna Technology (iWAT)

自引率

0.00%

发文量