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AN EFFICIENT MODEL-ORDER REDUCTION APPROACH TO LOW-FREQUENCY TRANSMISSION LINE MODELING
Author(s) -
Rob Remis
Publication year - 2010
Publication title -
electromagnetic waves
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 89
eISSN - 1559-8985
pISSN - 1070-4698
DOI - 10.2528/pier09123006
Subject(s) - reduction (mathematics) , model order reduction , transmission line , computer science , mathematics , algorithm , telecommunications , projection (relational algebra) , geometry
In this paper, we present a Lanczos-type reduction method to simulate the low-frequency response of multiconductor transmission lines. Reduced-order models are constructed in such a way that low frequencies are approximated flrst. The inverse of the transmission line system matrix is then required and an explicit expression for this inverse is presented. No matrix factorization needs to be computed numerically. Furthermore, computing the action of the inverse on a vector requires an O(N) amount of work, where N is the total number of unknowns, and the inverse satisfles a particular reciprocity- related symmetry relation as well. These two properties are exploited in a Lanczos-type algorithm to e-ciently construct the low-frequency reduced-order models. Numerical examples illustrate the performance of the method.

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