{"title":"面向大规模天线阵分析的改进迭代DGFM收敛","authors":"André S. Conradie, M. Botha","doi":"10.23919/eucap53622.2022.9769201","DOIUrl":null,"url":null,"abstract":"This paper presents an improvement to an iterative domain decomposition method for the analysis of large antenna arrays. The method considered, is the iterative domain Green's function method (DGFM), with extended local MoM domains. It yields an approximate solution to the global method of moments (MoM) problem via the solution of a succession of local sub-problems. The local sub-problems are obtained by rigorously formulating the MoM on local domains, with all array elements outside these local domains modelled using an improved far-current approximation which is a hybridisation of the DGFM and standard Jacobi approximations. Numerical results demonstrate that this new far-current approximation improves the convergence rate of the iterative DGFM-MoM. The improved formulation retains the main benefit of the DGFM, which is that it is well-suited to parallelisation.","PeriodicalId":228461,"journal":{"name":"2022 16th European Conference on Antennas and Propagation (EuCAP)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Improved Iterative DGFM Convergence, Towards Large-Scale Antenna Array Analysis\",\"authors\":\"André S. Conradie, M. Botha\",\"doi\":\"10.23919/eucap53622.2022.9769201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an improvement to an iterative domain decomposition method for the analysis of large antenna arrays. The method considered, is the iterative domain Green's function method (DGFM), with extended local MoM domains. It yields an approximate solution to the global method of moments (MoM) problem via the solution of a succession of local sub-problems. The local sub-problems are obtained by rigorously formulating the MoM on local domains, with all array elements outside these local domains modelled using an improved far-current approximation which is a hybridisation of the DGFM and standard Jacobi approximations. Numerical results demonstrate that this new far-current approximation improves the convergence rate of the iterative DGFM-MoM. The improved formulation retains the main benefit of the DGFM, which is that it is well-suited to parallelisation.\",\"PeriodicalId\":228461,\"journal\":{\"name\":\"2022 16th European Conference on Antennas and Propagation (EuCAP)\",\"volume\":\"195 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 16th European Conference on Antennas and Propagation (EuCAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/eucap53622.2022.9769201\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 16th European Conference on Antennas and Propagation (EuCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/eucap53622.2022.9769201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Iterative DGFM Convergence, Towards Large-Scale Antenna Array Analysis
This paper presents an improvement to an iterative domain decomposition method for the analysis of large antenna arrays. The method considered, is the iterative domain Green's function method (DGFM), with extended local MoM domains. It yields an approximate solution to the global method of moments (MoM) problem via the solution of a succession of local sub-problems. The local sub-problems are obtained by rigorously formulating the MoM on local domains, with all array elements outside these local domains modelled using an improved far-current approximation which is a hybridisation of the DGFM and standard Jacobi approximations. Numerical results demonstrate that this new far-current approximation improves the convergence rate of the iterative DGFM-MoM. The improved formulation retains the main benefit of the DGFM, which is that it is well-suited to parallelisation.