OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers

OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers

An OSNR monitoring method assisted by support vector ordinal regression (SVOR) is proposed for digital coherent receivers. According to Godard's error of equalized signals obtained after polarization demultiplexing, the optical signal-to-noise ratio (OSNR) value could be effectively estimated b...

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Main Authors: Ming Hao, Lianshan Yan, Anlin Yi, Lin Jiang, Yan Pan, Wei Pan, Bin Luo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Photonics Journal
Subjects:
OSNR Monitoring
Godard's error
support vector ordinal regression.
Online Access:https://ieeexplore.ieee.org/document/8840905/
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spelling doaj-f91b1af9e4b0458db9bf65e80566d64b2021-03-29T17:58:41ZengIEEEIEEE Photonics Journal1943-06552019-01-0111611110.1109/JPHOT.2019.29419848840905OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent ReceiversMing Hao0https://orcid.org/0000-0001-6375-2515Lianshan Yan1https://orcid.org/0000-0002-3633-7161Anlin Yi2https://orcid.org/0000-0002-7495-9885Lin Jiang3https://orcid.org/0000-0002-3389-4536Yan Pan4Wei Pan5Bin Luo6Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, ChinaCenter for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, ChinaCenter for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, ChinaCenter for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, ChinaCenter for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, ChinaCenter for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, ChinaCenter for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, ChinaAn OSNR monitoring method assisted by support vector ordinal regression (SVOR) is proposed for digital coherent receivers. According to Godard's error of equalized signals obtained after polarization demultiplexing, the optical signal-to-noise ratio (OSNR) value could be effectively estimated by using SVOR. The effectiveness of the proposed OSNR monitoring method is verified via numerical simulations with 28-Gbaud PDM-QPSK, PDM-8PSK, PDM-8QAM, PDM-16QAM and PDM-32QAM signals. The simulation results show that the 100% accuracies for the five modulation formats can be obtained over a wide OSNR range. The feasibility is further demonstrated by proof-of-concept experiments in 28-Gbaud PDM-QPSK, PDM-8PSK, PDM-8QAM and PDM-16QAM systems. The errors of averaged values of estimated OSNR for all the signals are less than or equal to 0.2 dB.https://ieeexplore.ieee.org/document/8840905/OSNR MonitoringGodard's errorsupport vector ordinal regression.
collection DOAJ
language English
format Article
sources DOAJ
author Ming Hao
Lianshan Yan
Anlin Yi
Lin Jiang
Yan Pan
Wei Pan
Bin Luo
spellingShingle Ming Hao
Lianshan Yan
Anlin Yi
Lin Jiang
Yan Pan
Wei Pan
Bin Luo
OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
IEEE Photonics Journal
OSNR Monitoring
Godard's error
support vector ordinal regression.
author_facet Ming Hao
Lianshan Yan
Anlin Yi
Lin Jiang
Yan Pan
Wei Pan
Bin Luo
author_sort Ming Hao
title OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
title_short OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
title_full OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
title_fullStr OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
title_full_unstemmed OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
title_sort osnr monitoring using support vector ordinal regression for digital coherent receivers
publisher IEEE
series IEEE Photonics Journal
issn 1943-0655
publishDate 2019-01-01
description An OSNR monitoring method assisted by support vector ordinal regression (SVOR) is proposed for digital coherent receivers. According to Godard's error of equalized signals obtained after polarization demultiplexing, the optical signal-to-noise ratio (OSNR) value could be effectively estimated by using SVOR. The effectiveness of the proposed OSNR monitoring method is verified via numerical simulations with 28-Gbaud PDM-QPSK, PDM-8PSK, PDM-8QAM, PDM-16QAM and PDM-32QAM signals. The simulation results show that the 100% accuracies for the five modulation formats can be obtained over a wide OSNR range. The feasibility is further demonstrated by proof-of-concept experiments in 28-Gbaud PDM-QPSK, PDM-8PSK, PDM-8QAM and PDM-16QAM systems. The errors of averaged values of estimated OSNR for all the signals are less than or equal to 0.2 dB.
topic OSNR Monitoring
Godard's error
support vector ordinal regression.
url https://ieeexplore.ieee.org/document/8840905/
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AT yanpan osnrmonitoringusingsupportvectorordinalregressionfordigitalcoherentreceivers
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