Acta Optica Sinica, Volume. 38, Issue 9, 0906002(2018)
Nonlinear Equalizer Based on General Regression Neural Network in Coherent Optical OFDM System
Fig. 3. Q factor versus σo in CO-OFDM system with (a) 16QAM and (b) 32QAM at different laser linewidths; (c) Q factor versus laser linewidth in the CO-OFDM system with different errors rg of objective function
Fig. 4. (a) Q factor versus laser linewidth using W/O-NLE, BPNN-NLE and GRNN-NLE; (b) training running time of BPNN-NLE and GRNN-NLE versus laser linewidth
Fig. 5. For the proposed CO-OFDM system, 32QAM constellation diagrams at the receiver after using GRNN-NLE (blue) and without nonlinear equalizer (red). (a) Laser linewidth ν=0.3 MHz; (b) ν=0.7 MHz
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Jinda Wu, Jin Lu, Hongliang Ren, Yali Qin, Shuqin Guo, Weisheng Hu. Nonlinear Equalizer Based on General Regression Neural Network in Coherent Optical OFDM System[J]. Acta Optica Sinica, 2018, 38(9): 0906002
Category: Fiber Optics and Optical Communications
Received: Dec. 4, 2017
Accepted: Apr. 9, 2018
Published Online: May. 9, 2019
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