A Powerful Equalizer Based on Modified SVM Classifier Without Nonlinear Kernel Enabled 100-Gb/s NG-EPON System With 10-G Class

For the future high-speed next-generation Ethernet passive optical network (NG-EPON) system, the low-cost system could be kept by adopting low bandwidth devices. To compensate for the signal distortion and improve the performance of high-speed bandwidth limited system, we propose a special feature vector construction to achieve a new equalizer scheme based on support vector machines (SVM) classifier. For the first time, we mathematically analyze the model of the bandwidth-limited optical transmission system and theoretically derive the linear separability of the proposed feature vector formed linear hyperplane in 100-Gb/s NG-EPON system. Furthermore, <inline-formula> <tex-math notation="LaTeX">$4\times 25$ </tex-math></inline-formula>-Gb/s non-return to zero (NRZ) and <inline-formula> <tex-math notation="LaTeX">$2\times 50$ </tex-math></inline-formula>-Gb/s four-level pulse amplitude modulation (PAM-4) per wavelength transmission experiments with 10-G class optics system are demonstrated to prove the feasibility of our scheme. The experimental results show that, for 25-Gb/s/<inline-formula> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula> NRZ transmission, compared to the decision feedback equalizer (DFE) and feed-forward equalizer (FFE), the receiver sensitivity achieved by our scheme can be improved by about 0.5-dB @BER=3.8e-3 with limited training sequence. For the 50-Gb/s/<inline-formula> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula> PAM-4 case, the SVM-based equalization method improves the receiver sensitivity for about 1-dB.