Abstract
We propose an efficient stratified sampling (SS) algorithm for estimating the bit
error rate (BER) of a digital communication system. Our algorithm efficiently exploits
the observations of an approximate, but usually fast, model of the system under
investigation to drive a clever Monte Carlo (MC) estimation based on SS. The proposed
method is faster than standard MC even at BER in the range $10^{-3}$ to $10^{-5}$.
Moreover, it is possible to evaluate the estimated standard deviation of the measured
BER, such as in an MC simulation, so that it is possible to associate a confidence to
the results. We test the algorithm both in a simple optical system distorted by group
velocity dispersion (GVD) and in more complex differential quadrature phase shift keying
(DQPSK) systems. In the last case, we measured computational savings up to 70% compared
with standard MC.
© 2009 IEEE
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription