{"title":"人工介质透镜天线计算机辅助设计的优化方法","authors":"Arij Farhat, E. Jehamy, M. Ney","doi":"10.1109/IWAT.2010.5464690","DOIUrl":null,"url":null,"abstract":"The paper investigates the optimization of an electrically large antenna : a shaped dielectric substrate lens at millimeter wave frequencies (76 – 77 GHz). The aim is to determine the best lens profile that complies with arbitrary desired radiation pattern templates. A feed forward artificial neural network (ANN) was implemented in order to predict the radiation pattern of this antenna. Particle Swarm Optimization (PSO) procedure, combined with neural network modeling, is applied in order to minimize the cost function (the fitness function) and to fit specifications. The optimized results are in a good agreement with 3D MoM simulations.","PeriodicalId":125732,"journal":{"name":"2010 International Workshop on Antenna Technology (iWAT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization methods for computer-aided design of artificial dielectric lens antennas\",\"authors\":\"Arij Farhat, E. Jehamy, M. Ney\",\"doi\":\"10.1109/IWAT.2010.5464690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper investigates the optimization of an electrically large antenna : a shaped dielectric substrate lens at millimeter wave frequencies (76 – 77 GHz). The aim is to determine the best lens profile that complies with arbitrary desired radiation pattern templates. A feed forward artificial neural network (ANN) was implemented in order to predict the radiation pattern of this antenna. Particle Swarm Optimization (PSO) procedure, combined with neural network modeling, is applied in order to minimize the cost function (the fitness function) and to fit specifications. The optimized results are in a good agreement with 3D MoM simulations.\",\"PeriodicalId\":125732,\"journal\":{\"name\":\"2010 International Workshop on Antenna Technology (iWAT)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Workshop on Antenna Technology (iWAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWAT.2010.5464690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Workshop on Antenna Technology (iWAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWAT.2010.5464690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization methods for computer-aided design of artificial dielectric lens antennas
The paper investigates the optimization of an electrically large antenna : a shaped dielectric substrate lens at millimeter wave frequencies (76 – 77 GHz). The aim is to determine the best lens profile that complies with arbitrary desired radiation pattern templates. A feed forward artificial neural network (ANN) was implemented in order to predict the radiation pattern of this antenna. Particle Swarm Optimization (PSO) procedure, combined with neural network modeling, is applied in order to minimize the cost function (the fitness function) and to fit specifications. The optimized results are in a good agreement with 3D MoM simulations.
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