Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network

作     者：EMILIANO STAFFOLI MATTIA MANCINELLI PAOLO BETTOTTI LORENZO PAVESI 

作者机构：Nanoscience LaboratoryDepartment of PhysicsUniversity of Trento38123 TrentoItaly 

出 版 物：《Photonics Research》 (光子学研究（英文版）)

年 卷 期：2023年第11卷第5期

页      面：878-886页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0809[工学-电子科学与技术（可授工学、理学学位）] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0803[工学-光学工程] 0811[工学-控制科学与工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：H2020 European Research Council(788793 963463) 

主　　题：network signal neural 

摘      要：A small 4-channel time-delayed complex perceptron is used as a silicon photonic neural network(PNN)device to compensate for chromatic dispersion in optical fiber *** PNN device is experimentally tested with nonreturn-to-zero optical signals at 10 Gbps after propagation through up to 125 km optical fiber *** the learning phase,a separation-loss function is optimized in order to maximally separate the transmitted levels of 0s from the 1s,which implies an optimization of the *** of the PNN device shows that the excess losses introduced by the PNN device are compensated by the gain in the transmitted signal equalization for a link longer than 100 *** measured data are reproduced by a model that accounts for the optical link and the PNN *** allows simulating the network performances for higher data rates,where the device shows improvement with respect to the benchmark both in terms of performance and ease of use.