光通信技术2024，Vol.48Issue(3)：64-67,4.DOI:10.13921/j.cnki.issn1002-5561.2024.03.011
基于轻量化RF算法的高阶QAM信号OSNR估计方法
Estimation method of OSNR for high-order QAM signals based on lightweight RF algorithm
摘要
Abstract
Aiming at the problems of high complexity and computational intensity in optical signal-to-noise ratio(OSNR)estima-tion,a high-order quadrature amplitude modulation(QAM)signal OSNR estimation method based on lightweight random forest(RF)algorithm is proposed.This method maps high-order QAM signals with different OSNRs into different constellation dia-gram datasets,and uses these datasets to train the RF model,thereby achieving rapid OSNR estimation.The simulation results show that when the real value of system OSNR is between 5～30 dB,the accuracy of OSNR estimation for 64QAM and 128QAM signals based on lightweight RF algorithm is close to 100%,the mean absolute error(MAE)of OSNR estimation for 64QAM sig-nals is 0.08 dB,and the MAE for 128QAM is 0.12 dB,which is more accurate than the signal OSNR estimation results based on long short-term memory(LSTM)algorithm.关键词
光纤通信/随机森林/光信噪比/高阶正交幅度调制Key words
optical fiber communication/random forest/optical signal-to-noise ratio/high-order quadrature amplitude modula-tion分类
信息技术与安全科学引用本文复制引用
张明烨,欧洺余,倪钱,朱宏娜..基于轻量化RF算法的高阶QAM信号OSNR估计方法[J].光通信技术,2024,48(3):64-67,4.基金项目
中央高校基本科研业务费专项资金项目(202310613083)资助. （202310613083）
