Fibre model identification for nonlinear Fourier transform-based transmission

Fibre-optic transceivers based on nonlinear Fourier transforms approximate the link by a lossless path-average model. We propose a new method that identifies a suitable lossless model from time-domain input-output data when fibre parameters are unknown. No special training signals are needed.

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Bibliographic Details
Published in45th European Conference on Optical Communication (ECOC 2019) p. 326
Main Authors de Koster, P.B.J, Wahls, S
Format Conference Proceeding
LanguageEnglish
Published Stevenage, UK IET 2019
The Institution of Engineering & Technology
Subjects
Fiber optics
Fourier transforms
Integral transforms
Interpolation and function approximation (numerical analysis)
Optical communication equipment
Optical fibers
Optimisation techniques
Other numerical methods
Signal processing and detection
Transceivers
approximation theory
lossless path-average model
Fourier transforms
optical transceivers
optical fibre communication
fibre-optic transceivers
fibre model identification
time-domain analysis
transceivers
nonlinear Fourier transform-based transmission
suitable lossless model
fibre parameters
time-domain input-output data
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Summary:Fibre-optic transceivers based on nonlinear Fourier transforms approximate the link by a lossless path-average model. We propose a new method that identifies a suitable lossless model from time-domain input-output data when fibre parameters are unknown. No special training signals are needed.
ISBN:1839531851
9781839531859
DOI:10.1049/cp.2019.1060