Conference paper
Performance emulation and parameter estimation for nonlinear fibre-optic links
Fibre-optic communication systems, especially when operating in the nonlinear regime, generally do not perform exactly as theory would predict. A number of methods for data-based evaluation of nonlinear fibre-optic link parameters, both for accurate performance emulation and optimization, are reviewed.
In particular, single-step nonlinear impairment based on the Gaussian mixture model, adaptive digital backpropagation, and extension to higher-dimensional spaces using Monte Carlo Markov chains are discussed.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2016 |
| Pages: | 1-5 |
| Proceedings: | 21st European Conference on Network and Optical Communications |
| ISBN: | 1509002960 , 1509002979 , 9781509002962 and 9781509002979 |
| Types: | Conference paper |
| DOI: | 10.1109/NOC.2016.7506976 |
| ORCIDs: | Piels, Molly , Porto da Silva, Edson and Zibar, Darko |
Coherent communications Fiber-optic links and subsystems Fibers Modulation Nonlinear optics
Digital signal processing Emulation Gaussian mixture model Gaussian processes Markov processes Monte Carlo Markov chains Monte Carlo methods Optical fiber communication Optical fibers Probability density function Receivers adaptive digital backpropagation adaptive optics backpropagation coherent communications fiber-optic links and subsystems fibers fibre-optic communication systems mixture models modulation nonlinear fibre-optic link parameter estimation nonlinear optics optical communication equipment optical fibre communication optical fibre testing optical links optimisation optimization parameter estimation single-step nonlinear impairment
