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Photonics Research, Volume. 9, Issue 1, B1(2021)

Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing

Qiang Cai1、†, Ya Guo1,2、†, Pu Li1,3,4、*, Adonis Bogris5, K. Alan Shore6, Yamei Zhang7, and Yuncai Wang3
Author Affiliations
  • 1Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
  • 2School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
  • 3School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • 4Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China
  • 5Department of Informatics and Computer Engineering, University of West Attica, Athens 12243, Greece
  • 6School of Electronic Engineering, Bangor University, Wales LL57 1UT, UK
  • 7Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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    [1] Li Gao, Yang Chai, Darko Zibar, Zongfu Yu, "Deep learning in photonics: introduction," Photonics Res. 9, DLP1 (2021)

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    Qiang Cai, Ya Guo, Pu Li, Adonis Bogris, K. Alan Shore, Yamei Zhang, Yuncai Wang, "Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing," Photonics Res. 9, B1 (2021)

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    Paper Information

    Special Issue: DEEP LEARNING IN PHOTONICS

    Received: Sep. 9, 2020

    Accepted: Nov. 13, 2020

    Published Online: Dec. 25, 2020

    The Author Email: Pu Li (lipu8603@126.com)

    DOI:10.1364/PRJ.409114

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology