Title
A power optimization method for CMOS Op-Amps using sub-space based geometric programming
Abstract
A new sub-space max-monomial modeling scheme for CMOS transistors in sub-micron technologies is proposed to improve the modeling accuracy. Major electrical parameters of CMOS transistors in each sub-space from the design space are modeled with max-monomials. This approach is demonstrated to have a better accuracy for sub-micron technologies than single-space models. Sub-space modeling based geometric programming power optimization has been successfully applied to three different op-amps in 0.18 ??m technology. HSPICE simulation results show that sub-space modeling based GP optimization can allow efficient and accurate analog design. Computational effort can be managed to an acceptable level when searching sub-spaces for transistors by using practical constraints. An efficient scheme in dealing with non-convex constraint inherent in Kirchhoff's voltage law is suggested in this paper. By using this scheme, the non-convex constraint, such as posynomial equality, can be relaxed to a convex constraint without affecting the result.
Year
DOI
Venue
2010
10.1109/DATE.2010.5457151
DATE
Keywords
Field
DocType
sub-micron technology,optimisation,cmos integrated circuits,spice,power optimization,efficient scheme,cmos transistor,geometric programming,kirchhoff's voltage law,convex constraint,sub-space based geometric programming,single-space models,non-convex constraint,operational amplifiers,gp optimization,sub-micron technologies,posynomial,practical constraint,power optimization method,sub-space max-monomial modeling,cmos transistors,cmos op-amps,nonconvex constraint,mosfet,sub-space modeling,new sub-space max-monomial modeling,modeling accuracy,hspice simulation,monomial,analog design,posynomial equality,accuracy,cmos technology,design optimization,space technology,strontium,solid modeling,transistors,computational modeling,semiconductor device modeling
Posynomial,Power optimization,Space technology,Semiconductor device modeling,Computer science,Electronic engineering,CMOS,Solid modeling,Geometric programming,Operational amplifier
Conference
ISSN
ISBN
Citations 
1530-1591
978-1-4244-7054-9
9
PageRank 
References 
Authors
0.57
8
2
Name
Order
Citations
PageRank
Wei Gao131119.34
Richard Hornsey2212.78