Nonlinear spectral compression in optical fiber: a new tool for processing degraded signals

Sonia Boscolo, Frédéric Audo, Julien Fatome, Christophe Finot

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

Abstract

We propose two new applications of the spectral focusing by self-phase modulation that occurs in a nonlinear optical fiber. We numerically show the possibility of using nonlinear spectral compression to improve the optical signal to noise ratio and mitigate the amplitude jitter of the signal pulses. We also demonstrate experimentally that use of spectral focusing in a combination with an external sinusoidal phase modulation achieves efficient suppression of coherent spectral background.

Original languageEnglish
Title of host publicationICTON 2017 - 19th International Conference on Transparent Optical Networks
PublisherIEEE
ISBN (Electronic)9781538608586
DOIs
Publication statusPublished - 4 Sep 2017
Event19th International Conference on Transparent Optical Networks, ICTON 2017 - Girona, Catalonia, Spain
Duration: 2 Jul 20176 Jul 2017

Conference

Conference19th International Conference on Transparent Optical Networks, ICTON 2017
CountrySpain
CityGirona, Catalonia
Period2/07/176/07/17

Bibliographical note

© Copyright 2017 IEEE – All rights reserved.

Funding: European Union within the framework of the operational Program FEDER-FSE Bourgogne 2014/2020, by the Région Bourgogne (Pari Photcom) and by the Agence Nationale de la Recherche (Labex Action ANR-11-LABX-01-01).

Keywords

  • nonlinear fiber optics
  • signal processing
  • spectral compression

Fingerprint Dive into the research topics of 'Nonlinear spectral compression in optical fiber: a new tool for processing degraded signals'. Together they form a unique fingerprint.

  • Cite this

    Boscolo, S., Audo, F., Fatome, J., & Finot, C. (2017). Nonlinear spectral compression in optical fiber: a new tool for processing degraded signals. In ICTON 2017 - 19th International Conference on Transparent Optical Networks [8024944] IEEE. https://doi.org/10.1109/ICTON.2017.8024944