Acta Optica Sinica, Volume. 42, Issue 9, 0906001(2022)

Phase Recovery Algorithm for Adaptive Probabilistic Shaping Signal Based on K-means

Xiongwei Yang1, Feng Zhao2、*, Linxian Zhao1, and Zhao Meng2
Author Affiliations
  • 1School of Communication and Information Engineering, Xi′an University of Post and Telecommunications, Xi′an 710121, Shaanxi, China
  • 2School of Electronic Engineering, Xi′an University of Posts and Telecommunications, Xi′an 710121, Shaanxi, China
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    Figures & Tables(10)
    Flow chart of K-means clustering algorithm
    Schematic diagram of phase recovery algorithm
    Schematic diagram of system simulation
    Variation of normalized conversion factor with modulus variance
    Radius relocation results. (a) Information entropy is 3.78 bit·symbol-1; (b) information entropy is 3.56 bit·symbol-1; (c) information entropy is 3.30 bit·symbol-1
    BER and EVM after signal recovery under different OSNR. (a) BER; (b) EVM
    NGMI curves of 16QAM with different information entropy and different line width
    BER and EVM after signal recovery under different OSNR. (a) BER; (b) EVM
    NGMI curves of 64QAM with different information entropy for different line width
    Simulation results. (a)(b) 4 bit·symbol-1 16QAM; (c)(d) 2.8 bit·symbol-1 16QAM; (e)(f) 6 bit·symbol-1 64QAM; (g)(h) 4.71 bit·symbol-1 64QAM
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    Xiongwei Yang, Feng Zhao, Linxian Zhao, Zhao Meng. Phase Recovery Algorithm for Adaptive Probabilistic Shaping Signal Based on K-means[J]. Acta Optica Sinica, 2022, 42(9): 0906001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Oct. 25, 2021

    Accepted: Nov. 25, 2021

    Published Online: May. 6, 2022

    The Author Email: Zhao Feng (hfengzhao@xupt.edu.cn)

    DOI:10.3788/AOS202242.0906001

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