A fast and efficient way for evaluating the joint probability density function of the polarization-mode dispersion (PMD) vector derivative components parallel and orthogonal to the PMD vector itself is presented. This allows for a fully analytical evaluation of outage probabilities, overcoming thus the limitation of the Monte Carlo method, which do not allow for reliable evaluation of probabilities smaller than about 10^(-4).
A fast and accurate method for evaluating joint second-order PMD statistics
FORESTIERI, Enrico
2003-01-01
Abstract
A fast and efficient way for evaluating the joint probability density function of the polarization-mode dispersion (PMD) vector derivative components parallel and orthogonal to the PMD vector itself is presented. This allows for a fully analytical evaluation of outage probabilities, overcoming thus the limitation of the Monte Carlo method, which do not allow for reliable evaluation of probabilities smaller than about 10^(-4).File in questo prodotto:
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