Performance of flexible decision-aided maximum likelihood phase estimator

Ping Wang, Jian Chen, Xiaodi You, Changyuan Yu

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

1 Citation (Scopus)

Abstract

This paper investigates the performance of a flexible decision-aided maximum likelihood (DA-ML) phase estimator in coherent optical phase-shift-keying (PSK) system recently proposed by us. We take into account the time-varying phase noise, instead of the assumption of constant phase noise over the observation interval in conventional DA-ML phase estimator. The weighted coefficients are introduced to recover carrier phase more accurately than conventional DA-ML scheme. The phase error variance of our proposed scheme is derived and the effect of different block length is also analysed. Simulation results show that there is a bit error rate (BER) floor at different block length and this can eliminate the block length effect of the conventional DA-ML scheme.
Original languageEnglish
Title of host publicationICOCN 2015 - 14th International Conference on Optical Communications and Networks, Proceedings
PublisherIEEE
ISBN (Electronic)9781467373739
DOIs
Publication statusPublished - 14 Aug 2015
Externally publishedYes
Event14th International Conference on Optical Communications and Networks, ICOCN 2015 - Nanjing, China
Duration: 3 Jul 20155 Jul 2015

Conference

Conference14th International Conference on Optical Communications and Networks, ICOCN 2015
Country/TerritoryChina
CityNanjing
Period3/07/155/07/15

Keywords

  • carrier phase estimation
  • decision-aided
  • maximum likelihood
  • weighted coefficients

ASJC Scopus subject areas

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

Cite this