Paper Info
Title
Stochastic model and simulation of a random number generator circuit
Abstract
In this paper, we describe a method for transient stochastic analysis and apply it to develop a stochastic model for a true random number generator (RNG) circuit using intrinsic circuit noise. We use numerical simulation of stochastic differential equations to obtain time-domain transient analysis of the circuit. The simulation shows similar stochastic behavior and probability tuning as that observed in measurements of the fabricated chips. We further develop a small signal stochastic model of the circuit. The model reveals the role each device plays in contributing to overall stochastic behavior. The model and the simulation allow us to predict how the device parameters affect the performance. The method we propose here can be applied to other circuits where stochastic sample paths and ensemble statistics are necessary to characterize the circuits. Traditional noise analysis in the frequency domain is not adequate to provide this information.
Year
DOI
Venue
2008
10.1109/ISCAS.2008.4542083
ISCAS
Keywords
Field
DocType
probability tuning,stochastic processes,random number generation,random number generator circuit,small signal stochastic model,stochastic differential equations,time-domain analysis,logic design,time-domain transient analysis,differential equations,transient analysis,true random number generator,frequency domain,stochastic resonance,predictive models,time domain,chip,stochastic differential equation,stochastic model,numerical simulation,stochastic analysis
Stochastic simulation,Stochastic optimization,Computer science,Control theory,Stochastic neural network,Stochastic differential equation,Continuous-time stochastic process,Electronic engineering,Stochastic modelling,Stochastic resonance,Stochastic control
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-4244-1684-4
2
PageRank 
References 
Authors
0.40
1
3
Name
Order
Citations
PageRank
Peng Xu1235.68
Timothy K. Horiuchi215339.22
Pamela Abshire315245.77