Please use this identifier to cite or link to this item: https://doi.org/10.1109/8.931146
Title: Domain-decomposed MEI method for field computation in single and multiple regions
Authors: Lan, K. 
Liu, Y.
Mei, K.K.
Keywords: Electromagnetic scattering
Multiconductor transmission lines
Wire arrays
Issue Date: Jun-2001
Source: Lan, K., Liu, Y., Mei, K.K. (2001-06). Domain-decomposed MEI method for field computation in single and multiple regions. IEEE Transactions on Antennas and Propagation 49 (6) : 894-901. ScholarBank@NUS Repository. https://doi.org/10.1109/8.931146
Abstract: The domain-decomposed measured equation of invariance (DDMEI) method is proposed for field computation in single and multiple regions. The whole computing domain is partitioned into a cluster of subdomains. For single region problems, this partition splits the computing domain into many subdomains artificially. For multiple regions problems, these subdomains can be taken as those regions separated geometrically. The contribution of sources residing in a subdomain is approximated by a set of sources selected out of these original sources with greatly reduced amounts. The approximation is implemented numerically by the MEI method. The resultant MEI matrices are blocked matrices and each submatrix is highly sparse. Approaches and numerical results are given respectively for the applications of the DDMEI to the scattering of single conducting cylinders, radiation of wire arrays, and capacitance matrix computation for multiconductor transmission lines. The DDMEI proposed in this paper is an improved version o f the surface current MEI method (SCMEI). Compared with the SCMEI, the DDMEI improves the sparsity of the MEI matrices and the feasibility of measuring out the MEI coefficients. Furthermore, the DDMEI makes it possible to apply the kind of on-surface MEI methods (OSMEI) to multiple region problems for the first time.
Source Title: IEEE Transactions on Antennas and Propagation
URI: http://scholarbank.nus.edu.sg/handle/10635/55690
ISSN: 0018926X
DOI: 10.1109/8.931146
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