2019YFB1803501-013-中长跨光纤传输系统建模数据

数据由西南交通大学与2022年12月产生。该成果采用傅里叶神经网络算子对千公里级光纤传输链路进行建模，经同行专家评审后发表在CLEO’2022国际光通信理论权威会议上。支出了项目中长跨光纤传输系统理论研究等相关内容。原始数据由商用VPI软件仿真得到，最终采用Python和Matlab进行加工处理。支撑论文“Data-driven Optical Fiber Channel Modeling Using Fourier Neural Operator”。The dataset was generated by Southwest Jiaotong University in December 2022. This work employed Fourier Neural Operators to model thousand-kilometer-scale optical fiber transmission links, and underwent peer review before being published at CLEO'2022, the leading international conference on optical communication theory. It covers relevant contents including the theoretical research on long-span optical fiber transmission systems in this project. The raw data was obtained through simulation using commercial VPI software, and finally processed with Python and Matlab. This dataset supports the paper titled "Data-driven Optical Fiber Channel Modeling Using Fourier Neural Operator".

搜集汇总

背景与挑战

背景概述

该数据集由西南交通大学于2022年12月创建，基于傅里叶神经网络算子对千公里级光纤传输链路进行建模，相关研究成果发表在CLEO'2022国际光通信权威会议上。原始数据通过商用VPI软件仿真生成，并利用Python和Matlab进行加工处理，支撑了数据驱动的光纤信道建模研究。