被动锁模光纤激光器中孤子束缚态动力学特征提取与预测  

Dynamic Characteristic Extraction and Prediction of Soliton Bound States in Passively Mode⁃Locked Fiber Lasers

作　　者：刘聪聪 何江勇 李晋 宁钰 周逢凯 王攀 刘艳格[1] 王志[1] Liu Congcong;He Jiangyong;Li Jin;Ning Yu;Zhou Fengkai;Wang Pan;Liu Yange;Wang Zhi(Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology,Institute of Modern Optics,College of Electronic Information and Optical Engineering,Nankai University,Tianjin 300350,China)

机构地区：[1]南开大学电子信息与光学工程学院现代光学研究所天津市微尺度光学信息技术科学重点实验室,天津300350

出　　处：《中国激光》2023年第11期208-215,共8页Chinese Journal of Lasers

基　　金：国家重点研发计划(2018YFB0504400);国家自然科学基金(12274238,62205159,61835006);京津冀基础研究合作项目(21JCZXJC00010)。

摘　　要：基于非线性偏振旋转技术搭建了1550 nm波段的被动锁模光纤激光器,结合时间拉伸色散傅里叶变换实时探测技术,对激光器中孤子束缚态动力学进行了测量,并基于自相关算法分析了孤子间距与相位差的演化。同时设计了对孤子束缚态动力学进行特征提取与预测的演化卷积自编码模型,实现了孤子束缚态动力学的特征参数提取以及预测。研究结果为孤子动力学研究提供了新见解,有助于挖掘孤子相互作用的物理机制。Objective Passively mode-locked fiber lasers are typical nonlinear systems with abundant physical phenomena such as soliton collisions,soliton molecules,and soliton explosions.With the rise of ultrafast detection technologies such as the time-stretching dispersion Fourier transform(TS-DFT),the number of soliton dynamics phenomena has increased,generating large amounts of analyzable data.Laser self-tuning is an important method for optimizing laser mode-locking;however,traditional algorithms limit the efficiency of laser self-tuning.Thus,it is necessary to reduce the dimensions of high-dimensional data and extract features to reduce irrelevant and redundant parameters in complex nonlinear systems.Furthermore,using an autoencoder to study the interaction processes of dissipative solitons in a passively mode-locked fiber laser can not only extract the main characteristic parameters of the soliton structure but also enhance the physical analysis ability of the network by mining the relationship between the full connection layer parameters and the soliton characteristic parameters.Methods This study proposes a passively mode-locked fiber laser that operates in the 1550 nm wavelength band based on nonlinear polarization rotation technology.The total cavity length,dispersion,and repetition frequency of the laser were 7.9 m,-0.133 ps2,and 26.8 MHz,respectively.When the output power of the fixed pump source was 127 mW,three soliton bound states were obtained by adjusting the polarization controller.Additionally,multiple sets of real-time spectral information was obtained using TS-DFT technology.The solitons exhibited obvious interference fringes owing to spectral coherence superposition.We observed and collected data on the dynamics of different soliton bound states,thereby introducing a large amount of analyzable data into the network model.Furthermore,we designed an evolutionary convolutional autoencoder model based on the operational methods of convolution and pooling in neural networks.The model was comprised of two p

关 键 词：激光器 光纤激光器 孤子束缚态 卷积自编码 时间拉伸色散傅里叶变换 

分 类 号：O436[机械工程—光学工程]