Intelligent optical performance monitor using multi-task learning based artificial neural network

Z Wan, Z Yu, L Shu, Y Zhao, H Zhang, K Xu - Optics express, 2019 - opg.optica.org
An intelligent optical performance monitor using multi-task learning based artificial neural
network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format …

Multi-task deep neural network (MT-DNN) enabled optical performance monitoring from directly detected PDM-QAM signals

Y Cheng, S Fu, M Tang, D Liu - Optics express, 2019 - opg.optica.org
We experimentally demonstrate a multi-task deep neutral network (MT-DNN) enabled
optical performance monitoring (OPM) for PDM-QPSK/8QAM/16QAM signals, by using the …

Modulation format identification and OSNR monitoring using density distributions in Stokes axes for digital coherent receivers

A Yi, L Yan, H Liu, L Jiang, Y Pan, B Luo, W Pan - Optics express, 2019 - opg.optica.org
We experimentally demonstrate a modulation format identification (MFI) and optical signal-to-
noise ratio (OSNR) monitoring method for digital coherent receivers by using the specific …

Joint modulation classification and OSNR estimation enabled by support vector machine

X Lin, OA Dobre, TMN Ngatched… - IEEE Photonics …, 2018 - ieeexplore.ieee.org
By adopting the cumulative distribution function of the received signal's amplitude as feature,
a support vector machine-based algorithm is proposed to jointly classify the modulation …

An effective modulation format identification based on intensity profile features for digital coherent receivers

L Jiang, L Yan, A Yi, Y Pan, M Hao, W Pan… - Journal of Lightwave …, 2019 - opg.optica.org
An effective and blind modulation format identification (MFI) scheme based on intensity
profile features is proposed for digital coherent receivers of elastic optical networks. Here …

A modified PSO assisted blind modulation format identification scheme for elastic optical networks

X Yu, C Bai, H Xu, W Sun, L Yang, H Zheng… - Optics Communications, 2020 - Elsevier
By using a modified particle swarm optimization (M-PSO) design, a novel and blind
modulation format identification (MFI) scheme was proposed for elastic optical networks …

Blind and low-complexity modulation format identification scheme using principal component analysis of Stokes parameters for elastic optical networks

H Xu, L Yang, X Yu, Z Zheng, C Bai, W Sun… - Optics express, 2020 - opg.optica.org
We propose a blind and low-complexity modulation format identification (MFI) scheme for
elastic optical networks (EONs). Since the square operation reduces half the number of the …

Intelligent optical performance monitoring based on intensity and differential-phase features for digital coherent receivers

J Feng, L Jiang, L Yan, A Yi, W Pan… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
An intelligent optical performance monitoring scheme for simultaneous modulation format
identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring is proposed and …

Modulation format identification of optical signals: an approach based on singular value decomposition of Stokes space projections

RA Eltaieb, HAE Abouelela, WS Saif, A Ragheb… - Applied Optics, 2020 - opg.optica.org
In this paper, two Stokes space (SS) analysis schemes for modulation format identification
(MFI) are proposed. These schemes are based on singular value decomposition (SVD) and …

A CNN-based cost-effective modulation format identification scheme by low-bandwidth direct detecting and low rate sampling for elastic optical networks

J Du, T Yang, X Chen, J Chai, Y Zhao, S Shi - Optics Communications, 2020 - Elsevier
Modulation format identification (MFI) is an indispensable technique in future optical
performance monitoring (OPM) for elastic optical networks. The existing MFI scheme based …