Xiaomeng Xia, Bozhong Li, Hongbing Huang, Yize Tang, Wenjie Kong
{"title":"Research on OSNR monitoring technology based on deep neural network","authors":"Xiaomeng Xia, Bozhong Li, Hongbing Huang, Yize Tang, Wenjie Kong","doi":"10.1117/12.2672152","DOIUrl":null,"url":null,"abstract":"The OSNR monitoring based on machine learning has achieved some results in coherent optical communication system, but it is not widely researched in intensity-modulation and direct detection system. In this paper, an electrical domain signal processing scheme based on deep neural network is proposed for monitoring link OSNR of intensity-modulation and direct detection system. We successfully estimate the OSNR of the 4GBaud OOK signal with the mean absolute error less than 0.81dB in the range of eight to 18 dB by a five layers deep neural network using 550,000 datasets.","PeriodicalId":290902,"journal":{"name":"International Conference on Mechatronics Engineering and Artificial Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Mechatronics Engineering and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2672152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The OSNR monitoring based on machine learning has achieved some results in coherent optical communication system, but it is not widely researched in intensity-modulation and direct detection system. In this paper, an electrical domain signal processing scheme based on deep neural network is proposed for monitoring link OSNR of intensity-modulation and direct detection system. We successfully estimate the OSNR of the 4GBaud OOK signal with the mean absolute error less than 0.81dB in the range of eight to 18 dB by a five layers deep neural network using 550,000 datasets.