{"title":"基于遗传算法的平面天线设计","authors":"M. Gulati, S. Siddhartha, Yash Vedi, M. Susila","doi":"10.1109/WISPNET.2018.8538585","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method of optimizing Antenna design using Genetic Algorithm. Use of genetic algorithm accelerates the process of simulation and can also conceptualize designs unattainable by manual approaches. The proposed antenna has a 50 $\\Omega$ feed line impedance, operates in the frequency range 3.1 GHz to 9 GHz. The radiating surface or the patch is treated as an arrangement of individual cells, 2500 individual cells in total, in a 50 $\\times$ 50 array which at a given time, may or may not be radiating. Antenna parameters for dimensions of the patch, radiation pattern, S-Parameters were calculated experimentally to produce agreeable results.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"17 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Genetic-Algorithm Based Planar Antenna Design\",\"authors\":\"M. Gulati, S. Siddhartha, Yash Vedi, M. Susila\",\"doi\":\"10.1109/WISPNET.2018.8538585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new method of optimizing Antenna design using Genetic Algorithm. Use of genetic algorithm accelerates the process of simulation and can also conceptualize designs unattainable by manual approaches. The proposed antenna has a 50 $\\\\Omega$ feed line impedance, operates in the frequency range 3.1 GHz to 9 GHz. The radiating surface or the patch is treated as an arrangement of individual cells, 2500 individual cells in total, in a 50 $\\\\times$ 50 array which at a given time, may or may not be radiating. Antenna parameters for dimensions of the patch, radiation pattern, S-Parameters were calculated experimentally to produce agreeable results.\",\"PeriodicalId\":6858,\"journal\":{\"name\":\"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)\",\"volume\":\"17 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISPNET.2018.8538585\",\"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 Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISPNET.2018.8538585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a new method of optimizing Antenna design using Genetic Algorithm. Use of genetic algorithm accelerates the process of simulation and can also conceptualize designs unattainable by manual approaches. The proposed antenna has a 50 $\Omega$ feed line impedance, operates in the frequency range 3.1 GHz to 9 GHz. The radiating surface or the patch is treated as an arrangement of individual cells, 2500 individual cells in total, in a 50 $\times$ 50 array which at a given time, may or may not be radiating. Antenna parameters for dimensions of the patch, radiation pattern, S-Parameters were calculated experimentally to produce agreeable results.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
