Cold-Start of Decision-Aided Maximum Likelihood in Coherent Optical Receivers

Xiaodi You, Jian Chen, Changyuan Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In coherent optical communication systems, a novel cold-start method is proposed for decision-aided maximum likelihood (DA-ML) phase estimation. With adoption of the non-data-aided Mth-power algorithm, the initial transmitted data symbols can be effectively utilized to start up the DA-ML receiver without using long training sequences. Simulation results verify the feasibility of cold-start. Compared with conventional schemes, DA-ML with cold-start can effectively achieve similar system bit error rate performance, facilitating efficient transmission especially under burst-mode and multi-receiver scenarios.

Original languageEnglish
Title of host publication23rd Opto-Electronics and Communications Conference, OECC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538691458
DOIs
Publication statusPublished - Jul 2018
Event23rd Opto-Electronics and Communications Conference, OECC 2018 - Jeju, Korea, Republic of
Duration: 2 Jul 20186 Jul 2018

Publication series

Name23rd Opto-Electronics and Communications Conference, OECC 2018

Conference

Conference23rd Opto-Electronics and Communications Conference, OECC 2018
CountryKorea, Republic of
CityJeju
Period2/07/186/07/18

Keywords

  • Coherent optical communication
  • cold-start
  • DA-ML
  • Mth-power
  • phase estimation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Atomic and Molecular Physics, and Optics

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