An elitist distributed particle swarm algorithm for RFIC optimization

Author

Chu, Min ; Allstot, David J.

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

Volume

2

fYear

2005

fDate

18-21 Jan. 2005

Firstpage

671

Abstract

An RF IC optimization methodology based on an elitist distributed particle swarm optimization algorithm is presented. By including a Pareto ranking mechanism and elitism in the algorithm, design alternatives and tradeoff information are provided with high efficiency. Post-optimization Monte-Carlo simulations are performed to assess first-order yield performance and aid in the selection of the final design. The approach is validated through the synthesis of a 5.2GHz direct-conversion front-end in 180nm CMOS.

Keywords

CMOS integrated circuits; MMIC; Monte Carlo methods; circuit optimisation; integrated circuit yield; microwave receivers; 180 nm; 5.2 GHz; Monte-Carlo simulations; Pareto ranking mechanism; RFIC optimization; design alternatives; direct-conversion front-end receiver; elitist distributed particle swarm algorithm; low-noise amplifier; noise figure; non-dominated sorting; second-order intermodulation; tradeoff information; yield performance; Algorithm design and analysis; Circuit simulation; Design optimization; Driver circuits; Engines; Optimization methods; Packaging; Particle swarm optimization; Radio frequency; Radiofrequency integrated circuits;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific

Print_ISBN

0-7803-8736-8

Type

conf

DOI

10.1109/ASPDAC.2005.1466417

Filename

1466417