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2011-03-02
Model Order Reduction for Peec Modeling Based on Moment Matching
By
Progress In Electromagnetics Research, Vol. 114, 285-299, 2011
Abstract
Accurate and effective system-level modeling has become necessary to address electromagnetic compatibility (EMC) issues in modern circuit and system design. Model order reduction (MOR) techniques provide a feasibility to approximate complex circuit models with compact reduced-order models. In this paper, an effective MOR technique entitled multi-point moment matching (MMM) is implemented for the partial element equivalent circuit (PEEC) modeling. Moment information at multiple frequency points is used in this method in order to accurately estimate a given system over an entire frequency range of interest, and for each frequency an enhanced asymptotic waveform evaluation (AWE) is applied to obtain a reduced-order model by constructing a pole-residue representation of the original transfer function. The improvements of conventional AWE in aspects of both moment computation and moment matching can avoid ill-conditioned moment matrices and unstable dominant poles. The complex frequency hopping (CFH) technique is employed to select the multiple expansion points by using a newly developed upwardsearch algorithm. Numerical simulations of coupled microstrip lines in both frequency and time domain indicate the effectiveness of the proposed method.
Citation
Zhenfei Song, Donglin Su, Fabrice Duval, and Anne Louis, "Model Order Reduction for Peec Modeling Based on Moment Matching," Progress In Electromagnetics Research, Vol. 114, 285-299, 2011.
doi:10.2528/PIER11012704
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