Laser & Optoelectronics Progress, Volume. 57, Issue 23, 230601(2020)

Fiber Nonlinearity Compensation Algorithm Based on Spectrum Compressing

Bin Huang, Lijie Zhang, Xia Li, and Qi Sui*
Author Affiliations
  • Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, Guangdong 510632, China
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    Figures & Tables(7)
    DBP processing results in non-band-limited and band-limited systems
    Simulation block diagram of SC algorithm
    Noise distribution model. (a) Front model; (b) post model; (c) distributed model
    Performance of SC and DBP algorithms (only considering the impact of Kerr effect)
    Performance of the two algorithms under different noise distributions. (a) Front noise; (b) distributed noise; (c) post noise; (d) performance of SC algorithm under three different noise distributions
    Signal processing performance of the two algorithms on standard single-mode fiber
    • Table 1. Parameter setting of SMF

      View table

      Table 1. Parameter setting of SMF

      IndexValue
      fref/Hz1.931×1014
      α/(dB·m-1)2×10-4
      Dλ/(s·m-2)1.6×10-5
      n2/(m2·W)2.6×10-20
      Aeff/ m28×10-11
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    Bin Huang, Lijie Zhang, Xia Li, Qi Sui. Fiber Nonlinearity Compensation Algorithm Based on Spectrum Compressing[J]. Laser & Optoelectronics Progress, 2020, 57(23): 230601

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Mar. 19, 2020

    Accepted: Apr. 10, 2020

    Published Online: Nov. 24, 2020

    The Author Email: Qi Sui (sui-qi@hotmail.com)

    DOI:10.3788/LOP57.230601

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