OSNR monitoring for PM-QPSK systems with large inline chromatic dispersion using artificial neural network technique

Thomas Shun Rong Shen, Qi Sui, Pak Tao Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)

Abstract

We propose an optical signal-to-noise ratio (OSNR) monitoring technique for polarization-multiplexed (PM) quadrature phase shift keying (QPSK) systems with large inline chromatic dispersion (CD) based on artificial neural network (ANN) techniques. The transmitted signal is directly detected, and part of the corresponding radio frequency spectrum is used as the input to ANN. Simulation results for 112-Gb/s PM return-to-zero QPSK systems demonstrate an OSNR monitoring range of 12-24 dB in presence of CD up to 27000 ps/nm with a maximum monitoring error of 0.84 dB. Tolerance of the proposed technique on polarization-mode dispersion effects is also investigated.
Original languageEnglish
Article number6243173
Pages (from-to)1564-1567
Number of pages4
JournalIEEE Photonics Technology Letters
Volume24
Issue number17
DOIs
Publication statusPublished - 27 Aug 2012

Keywords

  • Artificial neural network (ANN)
  • optical fiber communication
  • optical performance monitoring (OPM)
  • optical signal-to-noise ratio (OSNR)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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