P. Pirinoli, A. Freni, P. De Vita, F. Vipiana, G. Vecchi
{"title":"Efficient analysis of geometrically complex planar arrays","authors":"P. Pirinoli, A. Freni, P. De Vita, F. Vipiana, G. Vecchi","doi":"10.1109/CCE.2006.350868","DOIUrl":null,"url":null,"abstract":"In this paper, we present an efficient, physics-based preconditioning scheme for fast method-of-moments (MoM) methods for the analysis of geometrically complex planar arrays. The preconditioner derives from the generation of a multi-resolution (MR) basis and, unlike other preconditioners, requires a low memory occupation and computational cost for its generation and application. This feature makes the proposed preconditioner suitable for its use with fast integral techniques, as FMM and AIM, that present low computational complexity.","PeriodicalId":148533,"journal":{"name":"2006 First International Conference on Communications and Electronics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 First International Conference on Communications and Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCE.2006.350868","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
In this paper, we present an efficient, physics-based preconditioning scheme for fast method-of-moments (MoM) methods for the analysis of geometrically complex planar arrays. The preconditioner derives from the generation of a multi-resolution (MR) basis and, unlike other preconditioners, requires a low memory occupation and computational cost for its generation and application. This feature makes the proposed preconditioner suitable for its use with fast integral techniques, as FMM and AIM, that present low computational complexity.