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Importance sampling for polarization-mode dispersion

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3 Author(s)
Biondini, G. ; Dept. of Eng. Sci. & Appl. Math., Northwestern Univ., Evanston, IL, USA ; Kath, W.L. ; Menyuk, C.R.

We describe the application of importance sampling to Monte-Carlo simulations of polarization-mode dispersion (PMD) in optical fibers. The method allows rare differential group delay (DGD) events to be simulated much more efficiently than with standard Monte-Carlo methods and, thus, it can be used to assess PMD-induced system outage probabilities at realistic bit-error rates. We demonstrate the technique by accurately calculating the tails of the DGD probability distribution with a relatively small number of Monte-Carlo trials.

Published in:

Photonics Technology Letters, IEEE  (Volume:14 ,  Issue: 3 )

Date of Publication:

March 2002

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