{"title":"具有域约束和显式降维的两级天线建模","authors":"S. Koziel, A. Pietrenko‐Dabrowska","doi":"10.1109/APS/URSI47566.2021.9703689","DOIUrl":null,"url":null,"abstract":"Full-wave electromagnetic (EM) simulations are essential to reliable evaluation of modern antenna structures. Yet, high computational cost of EM analysis poses a serious challenge for EM-driven antenna design. A possible workaround is to utilize fast surrogates. However, the curse of dimensionality hinders the applicability of the conventional surrogate-assisted frameworks beyond simple structures described by a few parameters. A workaround is offered by the recently proposed nested kriging technique, where the surrogate domain is confined to the parameter space region containing high-quality designs, which allows for setting up reliable models at a low cost. Here, this expenses are further reduced through an explicit domain dimensionality reduction by means of principal component analysis.","PeriodicalId":6801,"journal":{"name":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","volume":"41 1","pages":"1653-1654"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-Level Antenna Modeling with Domain Confinement and Explicit Dimensionality Reduction\",\"authors\":\"S. Koziel, A. Pietrenko‐Dabrowska\",\"doi\":\"10.1109/APS/URSI47566.2021.9703689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Full-wave electromagnetic (EM) simulations are essential to reliable evaluation of modern antenna structures. Yet, high computational cost of EM analysis poses a serious challenge for EM-driven antenna design. A possible workaround is to utilize fast surrogates. However, the curse of dimensionality hinders the applicability of the conventional surrogate-assisted frameworks beyond simple structures described by a few parameters. A workaround is offered by the recently proposed nested kriging technique, where the surrogate domain is confined to the parameter space region containing high-quality designs, which allows for setting up reliable models at a low cost. Here, this expenses are further reduced through an explicit domain dimensionality reduction by means of principal component analysis.\",\"PeriodicalId\":6801,\"journal\":{\"name\":\"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)\",\"volume\":\"41 1\",\"pages\":\"1653-1654\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APS/URSI47566.2021.9703689\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS/URSI47566.2021.9703689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two-Level Antenna Modeling with Domain Confinement and Explicit Dimensionality Reduction
Full-wave electromagnetic (EM) simulations are essential to reliable evaluation of modern antenna structures. Yet, high computational cost of EM analysis poses a serious challenge for EM-driven antenna design. A possible workaround is to utilize fast surrogates. However, the curse of dimensionality hinders the applicability of the conventional surrogate-assisted frameworks beyond simple structures described by a few parameters. A workaround is offered by the recently proposed nested kriging technique, where the surrogate domain is confined to the parameter space region containing high-quality designs, which allows for setting up reliable models at a low cost. Here, this expenses are further reduced through an explicit domain dimensionality reduction by means of principal component analysis.