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DAC
2005
ACM

Segregation by primary phase factors: a full-wave algorithm for model order reduction

15 years 1 months ago
Segregation by primary phase factors: a full-wave algorithm for model order reduction
Existing Full-wave Model Order Reduction (FMOR) approaches are based on Expanded Taylor Series Approximations (ETAS) of the oscillatory full-wave system matrix. The accuracy of such approaches hinges on the worst case interaction distances, producing accurate models over a very narrow band of frequencies. In this paper we present Segregation by Primary Phase Factors (SPPF), a novel algorithm for FMOR enabling wideband interconnect impedance analysis. SPPF extracts exponential terms (primary phase factors) and then approximates the smoother remainder with an ETAS, thus resulting in good accuracies over a very wide band of frequencies. We also present a technique to improve conditioning for the required computation. Example results are given for simple interconnect structures modeled using a discretized mixed potential integral equation formulation. Categories and Subject Descriptors: C.4 [Performance of Systems]: Modeling techniques General Terms: Algorithms
Thomas J. Klemas, Luca Daniel, Jacob K. White
Added 13 Nov 2009
Updated 13 Nov 2009
Type Conference
Year 2005
Where DAC
Authors Thomas J. Klemas, Luca Daniel, Jacob K. White
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