Study On Optical Communications, Volume. 48, Issue 6, 35(2022)

Nonlinear Channel Equalization based on Gaussian Processes for Regression in Fiber Link

Biao WU1, Jia-hao LI2, and Zhao-cai ZHANG3、*
Author Affiliations
  • 1Wuhan NARI Limitied Company of State Grid Electric Power Research Institute, Wuhan 430074, China
  • 2School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
  • 3Beijing Institute of Space Science and Technology Information, Beijing 100094, China
  • show less
    Figures & Tables(5)
    DSP scheme of the proposed GPR-aided nonlinear CE
    Experimental setup of the 56 Gbit/s IMDD fiber transmission link over 100 km
    BER performances of GPR-aided CEs versus launch power with GPR models trained at
    Relationship between GPR-aided CE performance and parameters
    BER versus length of training symbols and number of dimensions n in GPR model
    Tools

    Get Citation

    Copy Citation Text

    Biao WU, Jia-hao LI, Zhao-cai ZHANG. Nonlinear Channel Equalization based on Gaussian Processes for Regression in Fiber Link[J]. Study On Optical Communications, 2022, 48(6): 35

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: May. 5, 2022

    Accepted: --

    Published Online: Feb. 14, 2023

    The Author Email: Zhao-cai ZHANG (zhangzhaocai@gmail.com)

    DOI:10.13756/j.gtxyj.2022.06.006

    Topics