F. J. Vaquero-Caballero, D. Charlton, M. E. Mousa-Pasandi, D. Ives, C. Laperle, M. Hubbard, M. Reimer, M. OSullivan, S. Savory
{"title":"In-band Perturbation based OSNR Estimation","authors":"F. J. Vaquero-Caballero, D. Charlton, M. E. Mousa-Pasandi, D. Ives, C. Laperle, M. Hubbard, M. Reimer, M. OSullivan, S. Savory","doi":"10.5281/ZENODO.4115443","DOIUrl":null,"url":null,"abstract":"Perturbed spectra are modelled to estimate OSNR for a single channel amplified link. Perturbation-dependent nonlinear noise is separated from constant ASE noise using a set of propagated perturbed spectra. A least mean square fitting is used to estimate OSNR with standard deviation of 0.16 dB.","PeriodicalId":8487,"journal":{"name":"arXiv: Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.4115443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Perturbed spectra are modelled to estimate OSNR for a single channel amplified link. Perturbation-dependent nonlinear noise is separated from constant ASE noise using a set of propagated perturbed spectra. A least mean square fitting is used to estimate OSNR with standard deviation of 0.16 dB.