Ming Hao, Zhang Lei, Yang Fan, Ruan Xiaoke, Zhang Fan
Opt Lett. 2020 Apr 1;45(7):2066-2069. doi: 10.1364/OL.386181.
We experimentally demonstrate high-speed metro-scale optical transmission of a single sideband (SSB) 4-ary pulse amplitude modulation (PAM-4) signal based on a silicon photonic dual-drive Mach-Zehnder modulator (MZM). We propose a novel, to the best of our knowledge, artificial neural network (ANN) structure of soft combined ANN (SC-ANN) to compensate for both linear and nonlinear impairments of the signal. SC-ANN obtains the enhanced performance by averaging the outputs of conventional ANN with different sizes. With the help of the SC-ANN, we achieve a 320 km standard single-mode fiber (SSMF) transmission of 184 Gb/s (92Gbaud) PAM-4 with a bit-error rate (BER) below the 20% soft-decision forward error-correction (SD-FEC) threshold of ${2.4} \times {{10}^{ - 2}}$2.4×10, and the optical signal-to-noise ratio (OSNR) penalty is only 0.3 dB compared to the back-to-back (BTB) results.
我们通过实验展示了基于硅光子双驱动马赫-曾德尔调制器（MZM）的单边带（SSB）四进制脉冲幅度调制（PAM-4）信号的高速城域规模光传输。据我们所知，我们提出了一种新颖的软组合人工神经网络（SC-ANN）结构，以补偿信号的线性和非线性损伤。SC-ANN通过对不同大小的传统人工神经网络的输出进行平均来获得增强的性能。借助SC-ANN，我们实现了184 Gb/s（92Gbaud）PAM-4信号在320 km标准单模光纤（SSMF）上的传输，误码率（BER）低于${2.4} \times {{10}^{ - 2}}$的20%软判决前向纠错（SD-FEC）阈值，并且与背对背（BTB）结果相比，光信噪比（OSNR）代价仅为0.3 dB。
