A simulation-based hybrid optimization technique for low noise amplifier design automation

Yi-Ming Li*, Shao Ming Yu, Yih Lang Li

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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 S parameters, K factor, 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 0.18pm metal-oxide-silicon filed effect transistors, benchmark results confirm the functionality of the implemented prototype.

原文English
主出版物標題Computational Science - ICCS 2007 - 7th International Conference, Proceedings
頁面259-266
頁數8
版本PART 4
DOIs
出版狀態Published - 1 十二月 2007
事件7th International Conference on Computational Science, ICCS 2007 - Beijing, China
持續時間: 27 五月 200730 五月 2007

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 4
4490 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference7th International Conference on Computational Science, ICCS 2007
國家/地區China
城市Beijing
期間27/05/0730/05/07

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