C. Oikonomopoulos-Zachos, W. Simon, Michael Meuleners, C. Degen
{"title":"Applying simplification algorithms for efficient EM-simulations of a complex Galileo satellite model","authors":"C. Oikonomopoulos-Zachos, W. Simon, Michael Meuleners, C. Degen","doi":"10.1109/WiSEE.2016.7877324","DOIUrl":null,"url":null,"abstract":"Efficient antenna development involves precise electromagnetic (EM) simulation of the antenna and all surroundings. Most accurate results can be obtained by using CAD data of all parts belonging to the antenna and objects in its vicinity. However, depending on size and number of parts involved this can lead to a huge amount of data which can not be handled by current EM simulation tools anymore. Thus, usually a trade-off between simulation accuracy and object size needs to be found. In this paper, simplification algorithms for automatically reducing CAD data of a Galileo II satellite are introduced and tested.","PeriodicalId":177862,"journal":{"name":"2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WiSEE.2016.7877324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Efficient antenna development involves precise electromagnetic (EM) simulation of the antenna and all surroundings. Most accurate results can be obtained by using CAD data of all parts belonging to the antenna and objects in its vicinity. However, depending on size and number of parts involved this can lead to a huge amount of data which can not be handled by current EM simulation tools anymore. Thus, usually a trade-off between simulation accuracy and object size needs to be found. In this paper, simplification algorithms for automatically reducing CAD data of a Galileo II satellite are introduced and tested.