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Phase noise cancellation in coherent communication systems using a radio frequency pilot tone
Tianjin University, China; University of Warwick, UK; University College London, UK.
University of Warwick, UK.
Harbin Institute of Technology, China.
RISE - Research Institutes of Sweden, ICT, Acreo. KTH Royal Institute of Technology, Sweden.
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2019 (English)In: Applied Sciences, E-ISSN 2076-3417, Vol. 9, no 21, article id 4717Article in journal (Refereed) Published
Abstract [en]

Long-haul optical fiber communication employing digital signal processing (DSP)-based dispersion compensation can be distorted by the phenomenon of equalization-enhanced phase noise (EEPN), due to the reciprocities between the dispersion compensation unit and the local oscillator (LO) laser phase noise (LPN). The impact of EEPN scales increases with the increase of the fiber dispersion, laser linewidths, symbol rates, signal bandwidths, and the order of modulation formats. In this work, the phase noise cancellation (PNC) employing a radio frequency (RF) pilot tone in coherent optical transmission systems has been investigated. A 28-Gsym/s QPSK optical transmission system with a significant EEPN has been implemented, where the carrier phase recovery (CPR) was realized using the one-tap normalized least-mean-square (NLMS) estimation and the differential phase detection (DPD), respectively. It is shown that the RF pilot tone can entirely eliminate the LPN and efficiently suppress the EEPN when it is applied prior to the CPR. © 2019 by the authors. 

Place, publisher, year, edition, pages
MDPI AG , 2019. Vol. 9, no 21, article id 4717
Keywords [en]
carrier phase recovery (CPR), coherent optical fiber communication, equalization enhanced phase noise (EEPN), laser phase noise (LPN), phase noise cancellation (PNC), radio frequency (RF) pilot tone
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-42089DOI: 10.3390/app9214717Scopus ID: 2-s2.0-85075191817OAI: oai:DiVA.org:ri-42089DiVA, id: diva2:1379189
Note

Funding details: EP/R035342/1; Funding details: DAWN4IoE, 778305; Funding text 1: This work is in parts supported by the EU H2020 RISE Grant DAWN4IoE (778305) and the UK EPSRC Program Grant TRANSNET (EP/R035342/1).

Available from: 2019-12-16 Created: 2019-12-16 Last updated: 2019-12-16Bibliographically approved

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