Performance comparison between decision-aided maximum likelihood and adaptive decision-aided phase estimation

Shaoliang Zhang, Changyuan Yu, Pooi Yuen Kam, Jian Chen

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

Abstract

The performance of decision-aided maximum likelihood (DA ML) and adaptive decision-aided (DA) phase estimation algorithms are analytically investigated in different modulation formats. The results show that the DA ML does not suffer from constellation penalty as in the adaptive DA phase estimation, though its performance depends on the memory length. In addition, it is found that the adaptive DA algorithm is more suitable in phase-shift keying formats than in non-constant amplitude systems.
Original languageEnglish
Title of host publication9th International Conference on Optical Communications and Networks, ICOCN 2010
Pages253-257
Number of pages5
Volume2010
Edition574 CP
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event9th International Conference on Optical Communications and Networks, ICOCN 2010 - Nanjing, China
Duration: 24 Oct 201027 Oct 2010

Conference

Conference9th International Conference on Optical Communications and Networks, ICOCN 2010
CountryChina
CityNanjing
Period24/10/1027/10/10

Keywords

  • Adaptive
  • Block length effect
  • Coherent detection
  • DA ML
  • Phase estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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