Decision-aided carrier phase estimation with selective averaging for low-cost optical coherent communication

Dezhao Huang, Tee Hiang Cheng, Changyuan Yu

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

6 Citations (Scopus)

Abstract

Digital carrier phase estimation (CPE) is used in coherent optical receiver to estimate and track carrier phase. The carrier phase estimated from a single symbol is corrupted by noise; hence, it is necessary for CPE to average a block of symbols to mitigate the noise effect. Symbols with significant noise in the averaging block can severely distort the overall phase estimation, especially when the averaging block is small. We propose a selective averaging (SA) method to identify those symbols with significantly large noise and exclude them in the phase averaging process of CPE. We apply our proposed SA technique to the decision-aided maximum likelihood (DAML) CPE and demonstrate via Monte Carlo simulation and experimental results that the modified DA-ML has better optical signal-to-noise ratio (OSNR) performance compared to the conventional DAML in large laser linewidth and medium to high OSNR region.
Original languageEnglish
Title of host publicationICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing
PublisherIEEE Computer Society
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan
Duration: 10 Dec 201313 Dec 2013

Conference

Conference9th International Conference on Information, Communications and Signal Processing, ICICS 2013
CountryTaiwan
CityTainan
Period10/12/1313/12/13

Keywords

  • Carrier phase estimation
  • Coherent optical communication
  • Digital signal processing
  • Selective averaging

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

Cite this