Polarization-Mode Dispersion Emulation With Maxwellian Lengths and Importance Sampling

Gino Biondini; William L. Kath

doi:10.1109/LPT.2004.823739

Polarization-Mode Dispersion Emulation With Maxwellian Lengths and Importance Sampling

Gino Biondini
, William L. Kath

Mathematics

University at Buffalo

Northwestern University

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

14 Scopus citations

Abstract

We describe an efficient polarization-mode dispersion (PMD) emulation method that combines a concatenation of birefringent sections having Maxwellian-distributed lengths with importance sampling. The method generates PMD statistics with accurate tail distributions using relatively few sections and reasonable numbers of samples, and allows the targeting of specific, arbitrarily large, first- and second-order PMD values.

Original language	English
Pages (from-to)	789-791
Number of pages	3
Journal	IEEE Photonics Technology Letters
Volume	16
Issue number	3
DOIs	https://doi.org/10.1109/LPT.2004.823739
State	Published - Mar 2004

Keywords

Importance sampling (IS)
Monte Carlo (MC) simulation
Optical fiber communications
Polarization-mode dispersion (PMD)

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10.1109/LPT.2004.823739

Cite this

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title = "Polarization-Mode Dispersion Emulation With Maxwellian Lengths and Importance Sampling",

abstract = "We describe an efficient polarization-mode dispersion (PMD) emulation method that combines a concatenation of birefringent sections having Maxwellian-distributed lengths with importance sampling. The method generates PMD statistics with accurate tail distributions using relatively few sections and reasonable numbers of samples, and allows the targeting of specific, arbitrarily large, first- and second-order PMD values.",

keywords = "Importance sampling (IS), Monte Carlo (MC) simulation, Optical fiber communications, Polarization-mode dispersion (PMD)",

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

year = "2004",

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T1 - Polarization-Mode Dispersion Emulation With Maxwellian Lengths and Importance Sampling

AU - Biondini, Gino

AU - Kath, William L.

PY - 2004/3

Y1 - 2004/3

N2 - We describe an efficient polarization-mode dispersion (PMD) emulation method that combines a concatenation of birefringent sections having Maxwellian-distributed lengths with importance sampling. The method generates PMD statistics with accurate tail distributions using relatively few sections and reasonable numbers of samples, and allows the targeting of specific, arbitrarily large, first- and second-order PMD values.

AB - We describe an efficient polarization-mode dispersion (PMD) emulation method that combines a concatenation of birefringent sections having Maxwellian-distributed lengths with importance sampling. The method generates PMD statistics with accurate tail distributions using relatively few sections and reasonable numbers of samples, and allows the targeting of specific, arbitrarily large, first- and second-order PMD values.

KW - Importance sampling (IS)

KW - Monte Carlo (MC) simulation

KW - Optical fiber communications

KW - Polarization-mode dispersion (PMD)

UR - https://www.scopus.com/pages/publications/1642618388

U2 - 10.1109/LPT.2004.823739

DO - 10.1109/LPT.2004.823739

M3 - Article

SN - 1041-1135

VL - 16

SP - 789

EP - 791

JO - IEEE Photonics Technology Letters

JF - IEEE Photonics Technology Letters

IS - 3

ER -

Polarization-Mode Dispersion Emulation With Maxwellian Lengths and Importance Sampling

Abstract

Keywords

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