G. Lomidze, P. Tsereteli, R. Kvaratskhelia, R. Jobava, Z. Sukhiashvili
{"title":"Development of FEM/MOM approach for investigation of vehicle glass antennas","authors":"G. Lomidze, P. Tsereteli, R. Kvaratskhelia, R. Jobava, Z. Sukhiashvili","doi":"10.1109/DIPED.2005.201618","DOIUrl":null,"url":null,"abstract":"The aim of this work is development of robust model suitable for analysis of automobile glass antennas. The model is based on FEM/MOM (Finite Element Method combined with Method of Moments) considerations for effective and accurate solution and reflects the latest improvements and modifications to EMAP5 [l],[2],[3]. Appropriate changes on pre-processing stage are performed in order to reflect data flow peculiarities in the automotive industry. Performance of the solver is improved because of usage sophisticated matrix solver. Some examples are provided to demonstrate the capability of modeling and to compare calculation time with those obtained original EMAP5.","PeriodicalId":169377,"journal":{"name":"Proceedings of Xth International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Xth International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DIPED.2005.201618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The aim of this work is development of robust model suitable for analysis of automobile glass antennas. The model is based on FEM/MOM (Finite Element Method combined with Method of Moments) considerations for effective and accurate solution and reflects the latest improvements and modifications to EMAP5 [l],[2],[3]. Appropriate changes on pre-processing stage are performed in order to reflect data flow peculiarities in the automotive industry. Performance of the solver is improved because of usage sophisticated matrix solver. Some examples are provided to demonstrate the capability of modeling and to compare calculation time with those obtained original EMAP5.