Digital signal processing approaches for semiconductor phase noise tolerant coherent transmission systems

Miguel Iglesias Olmedo, Xiaodan Pang, Richard Schatz, Darko Zibar, Idelfonso Tafur Monroy, Gunnar Jacobsen, Sergei Popov

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

We discuss about digital signal processing approaches that can enable coherent links based on semiconductor lasers. A state-of-the art analysis on different carrier-phase recovery (CPR) techniques is presented. We show that these techniques are based on the assumption of lorentzian linewidth, which does not hold for monolithically integrated semiconductor lasers. We investigate the impact of such lineshape on both 3 and 20 dB linewidth and experimentally conduct a systematic study for 56-GBaud DP-QPSK and 28-GBaud DP-16QAM systems using a decision directed phase look loop algorithm. We show how carrier induced frequency noise has no impact on linewidth but a significant impact on system performance; which rises the question on whether 3-dB linewidth should be used as performance estimator for semiconductor lasers.

Original languageEnglish
Title of host publicationOptical Metro Networks and Short-Haul Systems VII
EditorsAtul K. Srivastava, Benjamin B. Dingel, Achyut K. Dutta
Place of PublicationBellingham
PublisherSPIE
Number of pages7
Volume9388
ISBN (Electronic)9781628414783
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
EventOptical Metro Networks and Short-Haul Systems VII - San Francisco, United States
Duration: 10 Feb 201512 Feb 2015

Conference

ConferenceOptical Metro Networks and Short-Haul Systems VII
Country/TerritoryUnited States
CitySan Francisco
Period10/02/1512/02/15

Keywords

  • Coherent communications
  • Optical communications
  • Phase noise

Fingerprint

Dive into the research topics of 'Digital signal processing approaches for semiconductor phase noise tolerant coherent transmission systems'. Together they form a unique fingerprint.

Cite this