Simultaneous optical performance monitoring and modulation format/bit-rate identification using principal component analysis

Ming Chieng Tan, Faisal Nadeem Khan, Waled Hussein Al-Arashi, Yudi Zhou, Pak Tao Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

71 Citations (Scopus)


We propose a novel technique for simultaneous multi-impairment monitoring and autonomous bit-rate and modulation format identification (BR-MFI) in next-generation heterogeneous fiber-optic communication networks by using principal component analysis-based pattern recognition on asynchronous delay-tap plots. The results of numerical simulations performed for three commonly used modulation formats at two different bit-rates each demonstrate simultaneous and independent monitoring of optical signal-to-noise ratio, chromatic dispersion, and differential group delay with mean errors of 1 dB, 4 ps/nm, and 1.6 ps, respectively, without knowing the signal's bit-rate and modulation format. Similarly, the results for joint BR-MFI validate accurate identification of all the bit-rates and modulation formats despite the presence of various network impairments. The effects of fiber nonli-nearity and transmitter variations on the performance of the proposed technique are also investigated.
Original languageEnglish
Article number6822800
Pages (from-to)441-448
Number of pages8
JournalJournal of Optical Communications and Networking
Issue number5
Publication statusPublished - 1 Jan 2014


  • Asynchronous delay-tap sampling
  • Bit-rate and modulation format identification
  • Optical performance monitoring
  • Principal component analysis

ASJC Scopus subject areas

  • Computer Networks and Communications

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