Applications of importance sampling to PMD

G. Biondini; W. L. Kath

doi:10.1109/LEOSST.2003.1224299

Applications of importance sampling to PMD

G. Biondini, W. L. Kath

Engineering Sciences and Applied Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Applications of importance sampling to polarization mode dispersion (PMD) statistics in optical fiber transmission systems are presented. Previous methods that uses Monte Carlo (MC) simulations concentrates on the largest PMD values that allows only low probability events to be simulated. In the new method, importance sampling biases MC calculations of concatenated birefringent sections so that first- and second-order PMD values occur thereby allowing rare PMD events to be simulated more efficiently. Importance sampled MC techniques therefore provide a natural and effective tool to assess PMD statistics and PMD-induced impairments in optical transmission systems at realistic probability levels.

Original language	English (US)
Title of host publication	2003 IEEE/LEOS - Summer Topical Meeting
Subtitle of host publication	Holey Fibers and Photonic Crystals
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	21-22
Number of pages	2
Volume	2003-January
ISBN (Electronic)	0780379829, 9780780379824
DOIs	https://doi.org/10.1109/LEOSST.2003.1224299
State	Published - Jan 1 2003
Event	2003 IEEE/LEOS - Summer Topical Meeting - Vancouver, Canada Duration: Jul 14 2003 → Jul 16 2003

Other

Other	2003 IEEE/LEOS - Summer Topical Meeting
Country/Territory	Canada
City	Vancouver
Period	7/14/03 → 7/16/03

Keywords

Birefringence
Equations
Frequency
Mathematics
Monte Carlo methods
Optical fiber dispersion
Optical fiber polarization
Optical fibers
Optical pulses
Polarization mode dispersion

ASJC Scopus subject areas

Electrical and Electronic Engineering
Atomic and Molecular Physics, and Optics

Access to Document

10.1109/LEOSST.2003.1224299

Cite this

@inproceedings{b14269dd59ce438cbdd0d56bc9e45ee6,

title = "Applications of importance sampling to PMD",

abstract = "Applications of importance sampling to polarization mode dispersion (PMD) statistics in optical fiber transmission systems are presented. Previous methods that uses Monte Carlo (MC) simulations concentrates on the largest PMD values that allows only low probability events to be simulated. In the new method, importance sampling biases MC calculations of concatenated birefringent sections so that first- and second-order PMD values occur thereby allowing rare PMD events to be simulated more efficiently. Importance sampled MC techniques therefore provide a natural and effective tool to assess PMD statistics and PMD-induced impairments in optical transmission systems at realistic probability levels.",

keywords = "Birefringence, Equations, Frequency, Mathematics, Monte Carlo methods, Optical fiber dispersion, Optical fiber polarization, Optical fibers, Optical pulses, Polarization mode dispersion",

author = "G. Biondini and Kath, {W. L.}",

year = "2003",

month = jan,

day = "1",

doi = "10.1109/LEOSST.2003.1224299",

language = "English (US)",

volume = "2003-January",

pages = "21--22",

booktitle = "2003 IEEE/LEOS - Summer Topical Meeting",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2003 IEEE/LEOS - Summer Topical Meeting ; Conference date: 14-07-2003 Through 16-07-2003",

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TY - GEN

T1 - Applications of importance sampling to PMD

AU - Biondini, G.

AU - Kath, W. L.

PY - 2003/1/1

Y1 - 2003/1/1

N2 - Applications of importance sampling to polarization mode dispersion (PMD) statistics in optical fiber transmission systems are presented. Previous methods that uses Monte Carlo (MC) simulations concentrates on the largest PMD values that allows only low probability events to be simulated. In the new method, importance sampling biases MC calculations of concatenated birefringent sections so that first- and second-order PMD values occur thereby allowing rare PMD events to be simulated more efficiently. Importance sampled MC techniques therefore provide a natural and effective tool to assess PMD statistics and PMD-induced impairments in optical transmission systems at realistic probability levels.

AB - Applications of importance sampling to polarization mode dispersion (PMD) statistics in optical fiber transmission systems are presented. Previous methods that uses Monte Carlo (MC) simulations concentrates on the largest PMD values that allows only low probability events to be simulated. In the new method, importance sampling biases MC calculations of concatenated birefringent sections so that first- and second-order PMD values occur thereby allowing rare PMD events to be simulated more efficiently. Importance sampled MC techniques therefore provide a natural and effective tool to assess PMD statistics and PMD-induced impairments in optical transmission systems at realistic probability levels.

KW - Birefringence

KW - Equations

KW - Frequency

KW - Mathematics

KW - Monte Carlo methods

KW - Optical fiber dispersion

KW - Optical fiber polarization

KW - Optical fibers

KW - Optical pulses

KW - Polarization mode dispersion

UR - http://www.scopus.com/inward/record.url?scp=84942892079&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84942892079&partnerID=8YFLogxK

U2 - 10.1109/LEOSST.2003.1224299

DO - 10.1109/LEOSST.2003.1224299

M3 - Conference contribution

AN - SCOPUS:84942892079

VL - 2003-January

SP - 21

EP - 22

BT - 2003 IEEE/LEOS - Summer Topical Meeting

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2003 IEEE/LEOS - Summer Topical Meeting

Y2 - 14 July 2003 through 16 July 2003

ER -

Applications of importance sampling to PMD

Abstract

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Keywords

ASJC Scopus subject areas

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