Elitist nondominated sorting genetic algorithm based RF IC optimizer

被引：31

作者：

Chu, M ^{[1
]}

Allstot, D ^{[1
]}

机构：

[1] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2005年 / 52卷 / 03期

基金：

美国国家科学基金会;

关键词：

elitist nondominated sorting genetic algorithm (ENSGA); low-noise amplifier (LNA); mixer; Pareto optimal front; quadrature voltage-controlled oscillator (QVCO); radio frequency integrated circuit (RFIC) synthesis;

D O I：

10.1109/TCSI.2004.842427

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 [电气工程]; 0809 [电子科学与技术];

摘要：

An optimization tool for radio frequency integrated circuits (RFICs) based on an elitist nondominated sorting genetic algorithm is, introduced. It casts RF circuit synthesis as a multi-objective optimization problem and produces multiple solutions along the Pareto optimal front. Optimization is followed by sensitivity assessment wherein Monte Carlo simulations are performed for the Pareto points with respect to process, voltage, and temperature variations. The tool is validated in the synthesis of a 5.2-GHz direct-conversion receiver front-end that includes a common-gate differential low-noise amplifier, I/Q down-conversion mixers, and a quadrature voltage-controlled oscillator in a 250-nm SiGe BiCMOS process.

引用

页码：535 / 545

页数：11

共 25 条

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