A Simulation-Based Hybrid Optimization Technique for Low Noise Amplifier Design Automation

Authors:
Yiming Li;Shao-Ming Yu;Yih-Lang Li
Affiliations:
Department of Communication Engineering, National Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu City 300, Taiwan;Department of Computer Science, National Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu City 300, Taiwan;Department of Computer Science, National Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu City 300, Taiwan
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

Citing 4
Cited 0

Nonmonotone Levenberg-Marquardt algorithms and their convergence analysis

Journal of Optimization Theory and Applications
Genetic Algorithms for Control and Signal Processing

Genetic Algorithms for Control and Signal Processing
A layout-aware synthesis methodology for RF circuits

Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Radio-Frequency and Microwave Communication Circuits: Analysis and Design

Radio-Frequency and Microwave Communication Circuits: Analysis and Design

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a simulation-based optimization technique for integrated circuit (IC) design automation is presented. Based on a genetic algorithm (GA), Levenberg-Marquardt (LM) method, and circuit simulator, a window-interfaced prototype of computer-aided design (CAD) is developed for IC design. Considering low noise amplifier (LNA) IC, we simultaneously evaluate specifications including Sparameters, Kfactor, noise figure, and input third-order intercept point in the optimization process. If the simulated results meet the aforementioned constraints, the prototype outputs the optimized parameters. Otherwise, CAD activates GA for global optimization; simultaneously, LM method searches solutions with the results of GA. The prototype then calls a circuit simulator to compute and evaluate newer results until all specifications are matched. More than fifteen parameters including device sizes, passive components, and biasing conditions are optimized for the aforementioned constraints. For LNA IC with 0.18μmmetal-oxide-silicon filed effect transistors, benchmark results confirm the functionality of the implemented prototype.