Scanning-Based Chromatic Dispersion Estimation in Mode-Multiplexed Optical Systems

Ruby S. B. Ospina, Lailson F. Dos Santos, Darli A. A. Mello, Filipe M. Ferreira

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

Abstract

Mode-multiplexed coherent optical systems emerge as an alternative to overcome the capacity limits of current optical communication systems. As in single-mode systems, mode-multiplexed transmission experiences accumulated chromatic dispersion that must be estimated and compensated for by digital signal processing. Although scanning-based methods are widely used to estimate chromatic dispersion in single-mode optical systems, their performance in mode-multiplexed systems has not been evaluated. In this paper, we study three scanning-based chromatic dispersion estimation techniques in the scope of mode-multiplexed optical systems. The results indicate that the algorithms loose accuracy for high levels of crosstalk and ASE noise. However, we show that the estimation criterion based on the delay-tap sampling method can be properly modified to significantly improve the estimation performance even in the worst scenario of crosstalk evaluated.
Original languageEnglish
Title of host publication21st International Conference on Transparent Optical Networks, ICTON 2019
PublisherIEEE
Volume2019-July
ISBN (Electronic)978-1-7281-2779-8
ISBN (Print)978-1-7281-2780-4
DOIs
Publication statusE-pub ahead of print - 19 Sep 2019
Event2019 21st International Conference on Transparent Optical Networks (ICTON) - Angers, France
Duration: 9 Jul 201913 Jul 2019

Publication series

Name2019 21st International Conference on Transparent Optical Networks (ICTON)
PublisherIEEE
ISSN (Print)2162-7339
ISSN (Electronic)2161-2064

Conference

Conference2019 21st International Conference on Transparent Optical Networks (ICTON)
Period9/07/1913/07/19

Bibliographical note

Funding: FAPESP under the processes 2017/25537-8, 2015/24341-7 and 2015/ 24517-8 and by CAPES.

Keywords

  • Chromatic dispersion
  • Mode-multiplexed
  • Scanning-based estimation

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