Multiple importance sampling for first- and second-order polarization-mode dispersion

Sarah L. Fogal; Gino Biondini; William L. Kath

doi:10.1109/LPT.2002.801091

Multiple importance sampling for first- and second-order polarization-mode dispersion

Sarah L. Fogal^*, Gino Biondini, William L. Kath

^*Corresponding author for this work

Engineering Sciences and Applied Mathematics

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

47 Scopus citations

Abstract

A simulation method that targets all possible combinations of first- and second-order polarization-mode dispersion (PMD) is described. Use of this method in importance-sampled Monte Carlo simulations yields a more comprehensive determination of PMD-induced system penalties than first-order biasing alone and significantly speeds up the calculation of outage probabilities, particularly when PMD compensation is employed. The technique is demonstrated by using it to calculate the probability distribution function (pdf) of second-order PMD and the joint pdf of the magnatude of first- and second-order PMD.

Original language	English (US)
Pages (from-to)	1273-1275
Number of pages	3
Journal	IEEE Photonics Technology Letters
Volume	14
Issue number	9
DOIs	https://doi.org/10.1109/LPT.2002.801091
State	Published - Sep 2002

Keywords

Importance sampling
Monte Carlo simulation
Optical fiber communications
Polarization-mode dispersion

ASJC Scopus subject areas

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

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10.1109/LPT.2002.801091

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title = "Multiple importance sampling for first- and second-order polarization-mode dispersion",

abstract = "A simulation method that targets all possible combinations of first- and second-order polarization-mode dispersion (PMD) is described. Use of this method in importance-sampled Monte Carlo simulations yields a more comprehensive determination of PMD-induced system penalties than first-order biasing alone and significantly speeds up the calculation of outage probabilities, particularly when PMD compensation is employed. The technique is demonstrated by using it to calculate the probability distribution function (pdf) of second-order PMD and the joint pdf of the magnatude of first- and second-order PMD.",

keywords = "Importance sampling, Monte Carlo simulation, Optical fiber communications, Polarization-mode dispersion",

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

note = "Funding Information: Manuscript received March 18, 2002; revised May 10, 2002. This work was supported by the National Science Foundation under Grants DMS-0 101 476 and DGE-9 987 577. The authors are with the Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208-3125 USA (e-mail: kath@northwestern.edu). Publisher Item Identifier 10.1109/LPT.2002.801091.",

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T1 - Multiple importance sampling for first- and second-order polarization-mode dispersion

AU - Fogal, Sarah L.

AU - Biondini, Gino

AU - Kath, William L.

N1 - Funding Information: Manuscript received March 18, 2002; revised May 10, 2002. This work was supported by the National Science Foundation under Grants DMS-0 101 476 and DGE-9 987 577. The authors are with the Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208-3125 USA (e-mail: kath@northwestern.edu). Publisher Item Identifier 10.1109/LPT.2002.801091.

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N2 - A simulation method that targets all possible combinations of first- and second-order polarization-mode dispersion (PMD) is described. Use of this method in importance-sampled Monte Carlo simulations yields a more comprehensive determination of PMD-induced system penalties than first-order biasing alone and significantly speeds up the calculation of outage probabilities, particularly when PMD compensation is employed. The technique is demonstrated by using it to calculate the probability distribution function (pdf) of second-order PMD and the joint pdf of the magnatude of first- and second-order PMD.

AB - A simulation method that targets all possible combinations of first- and second-order polarization-mode dispersion (PMD) is described. Use of this method in importance-sampled Monte Carlo simulations yields a more comprehensive determination of PMD-induced system penalties than first-order biasing alone and significantly speeds up the calculation of outage probabilities, particularly when PMD compensation is employed. The technique is demonstrated by using it to calculate the probability distribution function (pdf) of second-order PMD and the joint pdf of the magnatude of first- and second-order PMD.

KW - Importance sampling

KW - Monte Carlo simulation

KW - Optical fiber communications

KW - Polarization-mode dispersion

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