@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.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE/LEOS - Summer Topical Meeting ; Conference date: 14-07-2003 Through 16-07-2003",
year = "2003",
doi = "10.1109/LEOSST.2003.1224299",
language = "English (US)",
series = "LEOS Summer Topical Meeting",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "21--22",
booktitle = "2003 IEEE/LEOS - Summer Topical Meeting",
address = "United States",
}