{"title":"一种新的采样算法用于随机粗糙表面散射的多级UV分解方法","authors":"Zherui Yu, Haogang Wang, Jiancheng Shi, L. He","doi":"10.1109/COMPEM.2015.7052602","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new sampling algorithm combined with multilevel UV(MLUV) factorization method to calculate the scattering from Gaussian random rough surface with exponential correlation function. The new sampling algorithm is based on the steepness of patch pairs which support the basis functions. The numerical analyses in this paper show that the proposed algorithm significantly improves the accuracy of the UV approximation of matrix ZK.","PeriodicalId":6530,"journal":{"name":"2015 IEEE International Conference on Computational Electromagnetics","volume":"1 1","pages":"192-194"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new sampling algorithm used in multilevel UV factorization method for scattering from random rough surface\",\"authors\":\"Zherui Yu, Haogang Wang, Jiancheng Shi, L. He\",\"doi\":\"10.1109/COMPEM.2015.7052602\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new sampling algorithm combined with multilevel UV(MLUV) factorization method to calculate the scattering from Gaussian random rough surface with exponential correlation function. The new sampling algorithm is based on the steepness of patch pairs which support the basis functions. The numerical analyses in this paper show that the proposed algorithm significantly improves the accuracy of the UV approximation of matrix ZK.\",\"PeriodicalId\":6530,\"journal\":{\"name\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"volume\":\"1 1\",\"pages\":\"192-194\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEM.2015.7052602\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Computational Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2015.7052602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new sampling algorithm used in multilevel UV factorization method for scattering from random rough surface
In this paper, we propose a new sampling algorithm combined with multilevel UV(MLUV) factorization method to calculate the scattering from Gaussian random rough surface with exponential correlation function. The new sampling algorithm is based on the steepness of patch pairs which support the basis functions. The numerical analyses in this paper show that the proposed algorithm significantly improves the accuracy of the UV approximation of matrix ZK.
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