NDLI: Robust analog/RF circuit design with projection-based posynomial modeling

Content Provider	IEEE Xplore Digital Library
Author	Xin Li Gopalakrishnan, P. Yang Xu Pileggi, T.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng.,, Carnegie Mellon Univ., Pittsburgh, PA, USA (Xin Li; Gopalakrishnan, P.; Yang Xu; Pileggi, T.)
Abstract	We propose a robust analog design tool (ROAD) for post-tuning analog/RF circuits. Starting from an initial design derived from hand analysis or analog circuit synthesis based on simplified models, ROAD extracts accurate posynomial performance models via transistor-level simulation and optimizes the circuit by geometric programming. Importantly, ROAD sets up all design constraints to include large-scale process variations to facilitate the tradeoff between yield and performance. A novel convex formulation of the robust design problem is utilized to improve the optimization efficiency and to produce a solution that is superior to other local tuning methods. In addition, a novel projection-based approach for posynomial fitting is used to facilitate scaling to large problem sizes. A new implicit power iteration algorithm is proposed to find the optimal projection space and extract the posynomial coefficients with robust convergence. The efficacy of ROAD is demonstrated on several circuit examples.
Starting Page	855
Ending Page	862
File Size	635274
Page Count	8
File Format	PDF
ISBN	0780387023
ISSN	10923152
DOI	10.1109/ICCAD.2004.1382694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Radio frequency Circuit synthesis Solid modeling Design optimization Circuit analysis Performance analysis Analog circuits Analytical models Circuit simulation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Science Applications Software

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