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Robust Analog/RF Circuit Design With Projection-Based Performance Modeling

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4 Author(s)
Xin Li ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA ; Gopalakrishnan, P. ; Yang Xu ; Pileggi, L.T.

In this paper, a robust analog design (ROAD) tool for post-tuning (i.e., locally optimizing) analog/RF circuits is proposed. Starting from an initial design derived from hand analysis or analog circuit optimization based on simplified models, ROAD extracts accurate performance models via transistor-level simulation and iteratively improves the circuit performance by a sequence of geometric programming steps. Importantly, ROAD sets up all design constraints to include large-scale process and environmental variations, thereby facilitating the tradeoff between yield and performance. A crucial component of ROAD is a novel projection-based scheme for quadratic (both polynomial and posynomial) performance modeling, which allows our approach to scale well to large problem sizes. A key feature of this projection-based scheme is a new implicit power iteration algorithm to find the optimal projection space and extract the unknown model coefficients with robust convergence. The efficacy of ROAD is demonstrated on several circuit examples

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:26 ,  Issue: 1 )