Analog Integrated Circuits and Signal Processing
Three-dimensional on-chip inductance and resistance extraction
Proceedings of the 20th annual conference on Integrated circuits and systems design
Efficient optimization of integrated spiral inductor with bounding of layout design parameters
Analog Integrated Circuits and Signal Processing
Design optimization of switchable multi-port spiral inductors
Analog Integrated Circuits and Signal Processing
Narrow-band low-noise amplifier synthesis for high-performance system-on-chip design
Microelectronics Journal
Statistical analysis of RF circuits using combined circuit simulator-full wave field solver approach
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Analog Integrated Circuits and Signal Processing
Variation tolerant design methods for wideband low noise amplifiers
Analog Integrated Circuits and Signal Processing
Robust reconfigurable filter design using analytic variability quantification techniques
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Design of multilevel pyramidically wound symmetric inductor for CMOS RFIC's
Analog Integrated Circuits and Signal Processing
Design and modeling of optimum quality spiral inductors with regularization and debye approximation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the 49th Annual Design Automation Conference
Synthesis of planar inductors in low temperature co-fired ceramic technology
Analog Integrated Circuits and Signal Processing
Analog Integrated Circuits and Signal Processing
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To successfully design spiral inductors in increasingly complex and integrated mixed-signal systems, effective design automation techniques must be created. In this paper, the authors develop an automated synthesis methodology for integrated spiral inductors to efficiently generate Pareto-optimal designs based on application requirements. At its core, the synthesis approach employs a scalable multilevel single-objective optimization engine that integrates the flexibility of deterministic pattern search optimization with the rapid convergence of local nonlinear convex optimization. Multiobjective optimization techniques and surrogate functions are utilized to approximate Pareto surfaces in the design space to locate Pareto-optimal spiral inductor designs. Using the synthesis methodology, the authors also demonstrate how to reduce the impact of process variation and other sources of modeling error on spiral inductors. The results indicate that the multilevel single-objective optimization engine locates near-optimal spiral inductor geometries with significantly fewer function evaluations than current techniques, whereas the overall synthesis methodology efficiently optimizes inductor designs with an improvement of up to 51% in key design constraints while reducing the impact of process variation and modeling error