Parasitic-aware RF IC design

Author

Allstot, David J. ; Chu, Michael ; Kim, T. ; Xiaoyong Li ; Park, Jongho

Author_Institution

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

Volume

1

fYear

2003

fDate

21-24 Oct. 2003

Firstpage

16

Abstract

Parasitic-aware CAD synthesis techniques for RF integrated circuits based on simulated annealing with tunneling, particle swarm optimization, and non-dominated sorting genetic algorithms are presented. Computationally efficient techniques for post-optimization process, voltage, and temperature (PVT) Monte-Carlo sensitivity analysis are also described, and several design examples of RF integrated circuits in CMOS and SiGe BiCMOS technologies are shown to validate the parasitic-aware synthesis methodology.

Keywords

BiCMOS integrated circuits; CAD; Ge-Si alloys; Monte Carlo methods; genetic algorithms; integrated circuit design; radiofrequency integrated circuits; sensitivity analysis; simulated annealing; sorting; Monte Carlo sensitivity analysis; SiGe BiCMOS technologies; bipolar complementary metal oxide semiconductor technologies; computer aided design techniques; nondominated sorting genetic algorithms; parasitic aware CAD synthesis techniques; parasitic aware RF IC design; particle swarm optimization; post optimization process; radio frequency integrated circuits; simulated annealing; tunneling;

fLanguage

English

Publisher

ieee

Conference_Titel

ASIC, 2003. Proceedings. 5th International Conference on

ISSN

1523-553X

Print_ISBN

0-7803-7889-X

Type

conf

DOI

10.1109/ICASIC.2003.1277482

Filename

1277482