An efficient approach for moment-matching simulation of linear subnetworks with measured or tabulated data

Authors:
Guowu Zheng;Qi-Jun Zhang;Michel Nakhla;Ramachandra Achar
Affiliations:
Department of Electronics, Carleton University, Ottawa, Ontario, Canada K1S 5B6;Department of Electronics, Carleton University, Ottawa, Ontario, Canada K1S 5B6;Department of Electronics, Carleton University, Ottawa, Ontario, Canada K1S 5B6;Department of Electronics, Carleton University, Ottawa, Ontario, Canada K1S 5B6
Venue:
Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
Year:
1997

Citing 3
Cited 1

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Asymptotic Waveform Evaluation and Moment Matching for Interconnect Analysis
A New Moment Generation Technique for Interconnects Characterized by Measured or Calculated S-Parameters

MCMC '96 Proceedings of the 1996 IEEE Multi-Chip Module Conference (MCMC '96)
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Robust rational function approximation algorithm for model generation

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Abstract

This paper describes a new moment-generation algorithm for efficient simulation of linear subnetworks characterized by measured or tabulated data using moment-matching techniques. The subnetwork moments are computed by performing an integration in time-domain on the measured data. The proposed technique is more accurate as it relies on integration as compared to the previously published approaches which depend on the differentiation of measured data in frequency-domain for computation of moments. Using the new moment-generation technique, the CFH (Complex Frequency Hopping) algorithm has been extended to handle measured subnetworks. Also a generalized stencil for measured data for inclusion in circuit simulators and to facilitate efficient moment-generation has been presented. Examples and comparison with conventional simulations are provided. The method is accurate while it is faster than the conventional approach by 1 to 2 orders of magnitude.