Title :
Noise analysis of non-linear dynamic integrated circuits
Author :
Zjajo, Amir ; Tang, Qin ; Berkelaar, Michel ; Van der Meijs, Nick
Author_Institution :
Delft Univ. of Technol., Delft, Netherlands
Abstract :
A time-domain methodology for noise analysis of non-linear dynamic integrated circuits with arbitrary excitations is presented. A non-stationary stochastic noise process is described as an Ito system of stochastic differential equations and a numerical solution for such a set of equations is found. Statistical simulation of specific circuits fabricated in 65 nm CMOS process shows that the proposed numerical methods offer accurate and efficient solution of stochastic differentials for noise analysis of integrated circuits.
Keywords :
differential equations; integrated circuit noise; nonlinear dynamical systems; nonlinear network analysis; stochastic processes; noise analysis; nonlinear dynamic integrated circuits; nonstationary stochastic noise process; stochastic differential equations; time-domain methodology; Computational modeling; Differential equations; Equations; Integrated circuit modeling; Mathematical model; Noise; Stochastic processes;
Conference_Titel :
Custom Integrated Circuits Conference (CICC), 2010 IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-5758-8
DOI :
10.1109/CICC.2010.5617429
