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Carrier phase estimation in dispersion-unmanaged optical transmission systems
University College London (UCL), UK.
University College London (UCL), UK.
Tianjin University, China.
Tianjin University, China.
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2017 (English)In: Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017, 2017, p. 1860-1864Conference paper, Published paper (Refereed)
Abstract [en]

The study on carrier phase estimation (CPE) approaches, involving a one-tap normalized least-mean-square (NLMS) algorithm, a block-wise average algorithm, and a Viterbi-Viterbi algorithm has been carried out in the long-haul high-capacity dispersion-unmanaged coherent optical systems. The close-form expressions and analytical predictions for bit-error-rate behaviors in these CPE methods have been analyzed by considering both the laser phase noise and the equalization enhanced phase noise. It is found that the Viterbi-Viterbi algorithm outperforms the one-tap NLMS and the block-wise average algorithms for a small phase noise variance (or effective phase noise variance), while the three CPE methods converge to a similar performance for a large phase noise variance (or effective phase noise variance). In addition, the differences between the three CPE approaches become smaller for higher-level modulation formats.

Place, publisher, year, edition, pages
2017. p. 1860-1864
Keywords [en]
Carrier phase estimation, Chromatic dispersion compensation, Digital signal processing, Optical fibre communication, Bit error rate, Chromatic dispersion, Light transmission, Optical communication, Optical fiber communication, Optical fibers, Signal processing, Spurious signal noise, Viterbi algorithm, Analytical predictions, Coherent optical systems, Equalization enhanced phase noise, Laser phase noise, Modulation formats, Normalized least mean square algorithms, Optical transmission systems, Phase noise
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33144DOI: 10.1109/IAEAC.2017.8054335Scopus ID: 2-s2.0-85034618615ISBN: 9781467389778 OAI: oai:DiVA.org:ri-33144DiVA, id: diva2:1179056
Conference
2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017, 25 March 2017 through 26 March 2017
Available from: 2018-01-31 Created: 2018-01-31 Last updated: 2018-01-31Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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