Applications of importance sampling to PMD

G. Biondini, W. L. Kath

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish (US)
Title of host publication2003 IEEE/LEOS - Summer Topical Meeting
Subtitle of host publicationHoley Fibers and Photonic Crystals
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Electronic)0780379829, 9780780379824
StatePublished - 2003
Event2003 IEEE/LEOS - Summer Topical Meeting - Vancouver, Canada
Duration: Jul 14 2003Jul 16 2003

Publication series

NameLEOS Summer Topical Meeting
ISSN (Print)1099-4742


Other2003 IEEE/LEOS - Summer Topical Meeting


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

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering


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