Xu Tianjia, Yang Aiying, Guo Peng, Yang Meng, Zhao Zhe, Wan Wenkai
Opt Express. 2025 Jan 27;33(2):2082-2100. doi: 10.1364/OE.542863.
The digital back-propagation (DBP) is an algorithm that can equalize the chromatic dispersion and nonlinearity in the coherent optical fiber communication system. However, the nonlinear equalization effect of traditional split-step Fourier method (SSFM)-based DBP is limited. This paper replaces the SSFM in DBP algorithm with the fourth-order Runge-Kutta in the interaction picture (RK4IP) method, and employs the Bayesian optimization algorithm (BOA) to optimize the coefficients in RK4IP-based DBP algorithm, then compares it with SSFM-based DBP algorithm, which is also optimized using BOA. The experimental results of 9×100 km standard single-mode fiber (SSMF) 20 Gbaud 16QAM transmission system demonstrate that the coefficient-optimized RK4IP (CO-RK4IP)-based DBP algorithm can achieve the maximum improvement of 0.89 dB in the Q-factor compared to the coefficient-optimized SSFM (CO-SSFM)-based DBP algorithm at equivalent complexity, proving that CO-RK4IP is an effective recursive method for DBP algorithm.
数字反向传播（DBP）是一种能够均衡相干光纤通信系统中色散和非线性的算法。然而，传统的基于分步傅里叶方法（SSFM）的DBP的非线性均衡效果有限。本文用相互作用绘景中的四阶龙格-库塔（RK4IP）方法取代了DBP算法中的SSFM，并采用贝叶斯优化算法（BOA）对基于RK4IP的DBP算法中的系数进行优化，然后将其与同样采用BOA优化的基于SSFM的DBP算法进行比较。9×100 km标准单模光纤（SSMF）20 Gbaud 16QAM传输系统的实验结果表明，在等效复杂度下，与基于系数优化的分步傅里叶方法（CO-SSFM）的DBP算法相比，基于系数优化的RK4IP（CO-RK4IP）的DBP算法在Q因子上能实现最大0.89 dB的提升，证明了CO-RK4IP是DBP算法一种有效的递归方法。
