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Variable domain transformation for linear PAC analysis of mixed-signal systems

Kim, J., Jones, K. & Horowitz, M. (2007). Variable domain transformation for linear PAC analysis of mixed-signal systems. Paper presented at the International Conference on Computer-Aided Design, 2007. ICCAD 2007, 05 - 08 Nov 2007, San Jose, California, USA. doi: 10.1109/ICCAD.2007.4397376


This paper describes a method to perform linear AC analysis on mixed-signal systems which appear strongly nonlinear in the voltage domain but are linear in other variable domains. Common circuits like phase/delay-locked loops and duty-cycle correctors fall into this category, since they are designed to be linear with respect to phases, delays, and duty-cycles of the input and output clocks, respectively. The method uses variable domain translators to change the variables to which the AC perturbation is applied and from which the AC response is measured. By utilizing the efficient periodic AC (PAC) analysis available in commercial RF simulators, the circuit’s linear transfer function in the desired variable domain can be characterized without relying on extensive transient simulations. Furthermore, the variable domain translators enable the circuits to be macromodeled as weakly-nonlinear systems in the chosen domain and then converted to voltage-domain models, instead of being modeled as strongly-nonlinear systems directly.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. DOI: 10.1109/ICCAD.2007.4397376
Publisher Keywords: simulation, linear analysis, PAC analysis, domain transformation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Departments: School of Science & Technology > Computer Science > Software Reliability
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