Modulation format and baud-rate identification using asynchronous single channel sampling based on CNN

Jie Gao, Xian Zhou, Qirui Fan, Dongxu Lu, Jiahao Huo, Jinhui Yuan, Keping Long, Changyuan Yu, Alan Pak Tao Lau, Chao Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review


In this paper, an asynchronous single channel sampling (ASCS) based joint modulation format and baud rate identification (MF–BRI) method is proposed for M-QAM optical systems using Convolutional Neural Network (CNN), which significantly reduces the cost and complexity of monitoring system setup. Based on the three influencing factors of OSNR, CD and DGD, three sampling rates are analyzed to generate ASCS images to build the database. The simulation and experiment accuracy of MFI and MF–BRI is above 99.8%. We also discuss the differences between two-channel sampling (TCS) and single-channel sampling (SCS).

Original languageEnglish
Article number125363
JournalOptics Communications
Publication statusPublished - 15 May 2020


  • Asynchronous single channel sampling
  • Convolutional Neural Network
  • Modulation format identification
  • Single channel sampling
  • Two channel sampling

ASJC Scopus subject areas

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

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