Proceedings of the conference on Design, automation and test in Europe
RF MEMS in wireless architectures
Proceedings of the 42nd annual Design Automation Conference
Design of reconfigurable RF front-end for multi-standard receiver using switchable passive networks
Analog Integrated Circuits and Signal Processing
Automated design of tunable impedance matching networks for reconfigurable wireless applications
Proceedings of the 45th annual Design Automation Conference
Variability-Aware Multilevel Integrated Spiral Inductor Synthesis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Quick simulation: a review of importance sampling techniques in communications systems
IEEE Journal on Selected Areas in Communications
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In this paper, we develop a variability-aware design methodology for reconfigurable filters used in multi-standard wireless systems. To model the impact of statistical circuit component variations on the predicted manufacturing yield, we implement several different analytic variability quantification techniques based on a double-sided implementation of the first and second order reliability methods (FORM and SORM), which provide several orders of magnitude improvement in computational complexity over statistical sampling methods. Leveraging these efficient analytic variability quantification techniques, we employ an optimization approach using Sequential Quadratic Programming to simultaneously determine the fixed and tunable/switchable circuit element values in an arbitrary-order canonical filter to improve the overall robustness of the filter design when statistical variations are present. The results indicate that reconfigurable filters and impedance matching networks designed using the proposed methodology meet the specified performance requirements with a 26% average absolute yield improvement over circuits designed using deterministic techniques.