基于IPCA-DNN算法的光纤非线性损伤补偿  

Fiber Nonlinear Impairments Compensation Based on IPCA-DNN Algorithm

作　　者：蒙建宇 张洪波 张敏[1] 蔡炬[1] 张倩武[2] 朱虹霖 钟政 Meng Jianyu;Zhang Hongbo;Zhang Min;Cai Ju;Zhang Qianwu;Zhu Honglin;Zhong Zheng(College of Communication Engineering,Chengdu University of Information Technology,Chengdu,Sichuan 610225,China;Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai University,Shanghai 200072,China)

机构地区：[1]成都信息工程大学通信工程学院,四川成都610225 [2]上海大学特种光纤与光接入网省部共建重点实验室,上海200072

出　　处：《光学学报》2021年第24期30-36,共7页Acta Optica Sinica

基　　金：四川省科技计划(2021YFG0149);上海市科委重点实验室项目(SKLSFO2019-06);高等学校学科创新引智计划(111)(D20031)。

摘　　要：为应对相干光通信系统中光纤非线性损伤,结合由非线性薛定谔方程的一阶摄动解推导出的三元组,提出一种基于深度神经网络(DNN)和改进型主成分分析(IPCA)的光纤非线性补偿(NLC)算法。为了验证提出的NLC方案的可行性,构建了单通道32 GBaud偏振复用16阶正交幅度调制(PDM-16QAM)的光传输系统。综合数值仿真结果表明,相较于DNN-NLC方案,IPCA-DNN-NLC方案以Q值降低0.06 dB为代价,使计算复杂度降低了90.7%,由此证明IPCA-DNN-NLC方案能以很低的复杂度实现相近的NLC性能;相较于数字反向传播(DBP)方案,IPCA-DNN-NLC方案在800 km的传输距离下Q值提升了0.91 dB,并可在不预知链路参数的情况下工作,具有普适性和鲁棒性。To deal with the fiber nonlinear impairments in coherent optical communication systems,this paper proposes a nonlinear compensation(NLC)algorithm based on deep neural network(DNN)and improved principal component analysis(IPCA)by using the triplets derived from the first-order perturbation solution of the nonlinear Schr9 dinger equation.The simulation systems of a single-channel 32 GBaud polarization-division-multiplexing 16-ary quadrature amplitude modulation(PDM-16 QAM)optical transmission system are built to verify the feasibility of the proposed NLC algorithm.Compared with the DNN-NLC scheme,the IPCA-DNN-NLC scheme reduces the computational complexity by 90.7%with only a 0.06 dB Q-factor penalty,which means that the new algorithm enables similar NLC performance with much lower complexity.Compared with the digital back propagation(DBP)scheme,the IPCA-DNN-NLC scheme realizes a 0.91 dB Q-factor improvement over 800 km transmission.The proposed scheme can work normally without prior knowledge of the link parameters,which is versatile and robust.

关 键 词：光纤光学 相干光通信 深度神经网络 改进型主成分分析 非线性补偿 

分 类 号：TN915.01[电子电信—通信与信息系统]