Applications of importance sampling to polarization mode dispersion

Gino Biondini; William L. Kath

doi:10.1007/s10297-004-0007-z

Applications of importance sampling to polarization mode dispersion

Gino Biondini^*, William L. Kath

^*Corresponding author for this work

Engineering Sciences and Applied Mathematics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We describe the application of importance sampling to Monte-Carlo simulations of polarization-mode dispersion (PMD) in optical fibers. The method allows rare PMD events to be simulated much more efficiently than with standard Monte-Carlo methods, thus making it possible to assess the effect of PMD on system outage probabilities at realistic bit error ratios.

Original language	English (US)
Pages (from-to)	14-31
Number of pages	18
Journal	Journal of Optical and Fiber Communications Reports
Volume	1
Issue number	1
DOIs	https://doi.org/10.1007/s10297-004-0007-z
State	Published - 2004

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1007/s10297-004-0007-z

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title = "Applications of importance sampling to polarization mode dispersion",

abstract = "We describe the application of importance sampling to Monte-Carlo simulations of polarization-mode dispersion (PMD) in optical fibers. The method allows rare PMD events to be simulated much more efficiently than with standard Monte-Carlo methods, thus making it possible to assess the effect of PMD on system outage probabilities at realistic bit error ratios.",

author = "Gino Biondini and Kath, {William L.}",

note = "Funding Information: We thank J. N. Damask,A. Galtarossa, I.T. Lima and C. R. Menyuk for many interesting and valuable discussions. This work was supported in part by the National Science Foundation under grant numbers DMS-0101476 and DGE-9987577.",

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AU - Biondini, Gino

AU - Kath, William L.

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PY - 2004

Y1 - 2004

N2 - We describe the application of importance sampling to Monte-Carlo simulations of polarization-mode dispersion (PMD) in optical fibers. The method allows rare PMD events to be simulated much more efficiently than with standard Monte-Carlo methods, thus making it possible to assess the effect of PMD on system outage probabilities at realistic bit error ratios.

AB - We describe the application of importance sampling to Monte-Carlo simulations of polarization-mode dispersion (PMD) in optical fibers. The method allows rare PMD events to be simulated much more efficiently than with standard Monte-Carlo methods, thus making it possible to assess the effect of PMD on system outage probabilities at realistic bit error ratios.

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Applications of importance sampling to polarization mode dispersion

Abstract

ASJC Scopus subject areas

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