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Progress In Electromagnetics Research
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MODEL ORDER REDUCTION FOR PEEC MODELING BASED ON MOMENT MATCHING

By Z. Song, D. Su, F. Duval, and A. Louis

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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:
Z. Song, D. Su, F. Duval, and A. Louis, "Model Order Reduction for Peec Modeling Based on Moment Matching," Progress In Electromagnetics Research, Vol. 114, 285-299, 2011.
doi:10.2528/PIER11012704
http://www.jpier.org/PIER/pier.php?paper=11012704

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