{"title":"介质半空间上垂直天线封闭解的优化复像预测模型","authors":"R. Shubair","doi":"10.1109/ANTEM.1998.7861772","DOIUrl":null,"url":null,"abstract":"The electromagnetic modeling of vertical antennas above a dielectric half-space involves the computation of Sommerfeld-type integrals each of which represent he inverse transformation of a slowly-convergent spectral-domain Green's function. It is well known that the numerical evaluation of these integrals is computationally time-expensive. Alternatively, the complex-image technique, proposed in [1], is used in this paper to derive closed-form expressions of the required spatial Green's functions associated with vertical antennas above a dielectric half-space. The accuracy of the complex-image technique is further improved by modifying the amplitudes and locations of the images so that an optimized complex-image prediction model is produced.","PeriodicalId":334204,"journal":{"name":"1998 Symposium on Antenna Technology and Applied Electromagnetics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An optimized complex-image prediction model for a closed-form solution of vertical antennas above a dielectric half-space\",\"authors\":\"R. Shubair\",\"doi\":\"10.1109/ANTEM.1998.7861772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The electromagnetic modeling of vertical antennas above a dielectric half-space involves the computation of Sommerfeld-type integrals each of which represent he inverse transformation of a slowly-convergent spectral-domain Green's function. It is well known that the numerical evaluation of these integrals is computationally time-expensive. Alternatively, the complex-image technique, proposed in [1], is used in this paper to derive closed-form expressions of the required spatial Green's functions associated with vertical antennas above a dielectric half-space. The accuracy of the complex-image technique is further improved by modifying the amplitudes and locations of the images so that an optimized complex-image prediction model is produced.\",\"PeriodicalId\":334204,\"journal\":{\"name\":\"1998 Symposium on Antenna Technology and Applied Electromagnetics\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 Symposium on Antenna Technology and Applied Electromagnetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTEM.1998.7861772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 Symposium on Antenna Technology and Applied Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTEM.1998.7861772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An optimized complex-image prediction model for a closed-form solution of vertical antennas above a dielectric half-space
The electromagnetic modeling of vertical antennas above a dielectric half-space involves the computation of Sommerfeld-type integrals each of which represent he inverse transformation of a slowly-convergent spectral-domain Green's function. It is well known that the numerical evaluation of these integrals is computationally time-expensive. Alternatively, the complex-image technique, proposed in [1], is used in this paper to derive closed-form expressions of the required spatial Green's functions associated with vertical antennas above a dielectric half-space. The accuracy of the complex-image technique is further improved by modifying the amplitudes and locations of the images so that an optimized complex-image prediction model is produced.