{"title":"利用SPACA-MLFACA-CBFM算法求解PEC目标电磁散射","authors":"Xinlei Chen, Ziang Shen, Zhuo Li, C. Gu","doi":"10.1109/COMPEM.2018.8496728","DOIUrl":null,"url":null,"abstract":"This paper proposes an efficient hybrid sparfied adaptive cross approximation-multilevel fast adaptive cross approximation-characteristic basis function method (SPACA-MLFACA-CBFM) method for solving electrically large PEC targets. In this method, the CBFM is used to reduce the number of unknowns. The SPACA-MLFACA is employed to compress the reduced submatrices associated with the far-blocks pairs. Numerical results show that the new method can save much memory than the conventional MLFACA-CBFM.","PeriodicalId":221352,"journal":{"name":"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solution of Eectromagnetic Scattering from PEC Targets Using SPACA-MLFACA-CBFM Algorithm\",\"authors\":\"Xinlei Chen, Ziang Shen, Zhuo Li, C. Gu\",\"doi\":\"10.1109/COMPEM.2018.8496728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an efficient hybrid sparfied adaptive cross approximation-multilevel fast adaptive cross approximation-characteristic basis function method (SPACA-MLFACA-CBFM) method for solving electrically large PEC targets. In this method, the CBFM is used to reduce the number of unknowns. The SPACA-MLFACA is employed to compress the reduced submatrices associated with the far-blocks pairs. Numerical results show that the new method can save much memory than the conventional MLFACA-CBFM.\",\"PeriodicalId\":221352,\"journal\":{\"name\":\"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEM.2018.8496728\",\"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 IEEE International Conference on Computational Electromagnetics (ICCEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2018.8496728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solution of Eectromagnetic Scattering from PEC Targets Using SPACA-MLFACA-CBFM Algorithm
This paper proposes an efficient hybrid sparfied adaptive cross approximation-multilevel fast adaptive cross approximation-characteristic basis function method (SPACA-MLFACA-CBFM) method for solving electrically large PEC targets. In this method, the CBFM is used to reduce the number of unknowns. The SPACA-MLFACA is employed to compress the reduced submatrices associated with the far-blocks pairs. Numerical results show that the new method can save much memory than the conventional MLFACA-CBFM.
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