A Hybrid Approach to Nonlinear Macromodel Generation for Time-Varying Analog Circuits

Authors:
Peng Li;Xin Li;Yang Xu;Lawrence T. Pileggi
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Year:
2003

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Abstract

Modeling frequency-dependent nonlinear characteristics of complexanalog blocks and subsystems is critical for enabling efficientverification of mixed-signal system designs. Recent progress hasbeen made for constructing such macromodels, however, their accuracyand/or efficiency can break down for certain problems, particularlythose with high-Q filtering. In this paper we explore a novelhybrid approach for generating accurate analog macromodels fortime-varying weakly nonlinear circuits. The combined benefits ofnonlinear Padé approximations and pruning by exploitation of thesystem's internal structure allows us to construct nonlinear circuitmodels that are accurate for wide input frequency ranges, and therebycapable of modeling systems with sharp frequency selectivity.Such components are widely encountered in analog signal processingand RF applications. The efficacy of the proposed approach isdemonstrated by the modeling of large time-varying nonlinear circuitsthat are commonly found in these application areas.