{"title":"Fast simulation of microwave devices via a data-sparse and explicit CN-FETD method","authors":"T. Wan, L. Du, Yunqin Hu","doi":"10.1109/IMWS-AMP.2015.7325018","DOIUrl":null,"url":null,"abstract":"For the fast design of microwave circuit, an unconditionally stable and fully explicit finite-element time-domain (FETD) method is presented. The Crank-Nicolson (CN) scheme is implemented leading to an unconditionally stable mixed FETD method. A hierarchical (H-) matrix algorithm is introduced to provide a data-sparse way to approximate the inverse of the sparse system matrix produced by the CN-FETD method which is dense originally. This approximate inverse can be computed and stored with almost linear complexity, and then the CN-FETD method can be computed explicitly at each time step. Examples of two microwave devices are simulated to demonstrate the efficiency and accuracy of the proposed method.","PeriodicalId":6625,"journal":{"name":"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)","volume":"169 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMWS-AMP.2015.7325018","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
For the fast design of microwave circuit, an unconditionally stable and fully explicit finite-element time-domain (FETD) method is presented. The Crank-Nicolson (CN) scheme is implemented leading to an unconditionally stable mixed FETD method. A hierarchical (H-) matrix algorithm is introduced to provide a data-sparse way to approximate the inverse of the sparse system matrix produced by the CN-FETD method which is dense originally. This approximate inverse can be computed and stored with almost linear complexity, and then the CN-FETD method can be computed explicitly at each time step. Examples of two microwave devices are simulated to demonstrate the efficiency and accuracy of the proposed method.