• Laser & Optoelectronics Progress
  • Vol. 57, Issue 23, 230601 (2020)
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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    DOI: 10.3788/LOP57.230601 Cite this Article Set citation alerts
    Bin Huang, Lijie Zhang, Xia Li, Qi Sui. Fiber Nonlinearity Compensation Algorithm Based on Spectrum Compressing[J]. Laser & Optoelectronics Progress, 2020, 57(23): 230601 Copy Citation Text show less
    DBP processing results in non-band-limited and band-limited systems
    Fig. 1. DBP processing results in non-band-limited and band-limited systems
    Simulation block diagram of SC algorithm
    Fig. 2. Simulation block diagram of SC algorithm
    Noise distribution model. (a) Front model; (b) post model; (c) distributed model
    Fig. 3. 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)
    Fig. 4. 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
    Fig. 5. 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
    Fig. 6. Signal processing performance of the two algorithms on standard single-mode fiber
    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
    Table 1. Parameter setting of SMF
    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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