Optical Nonlinear Phase Noise Compensation for -Gbaud PolDM-16 QAM Transmission Using a Code-Aided Expectation-Maximization Algorithm

C Pan, H Bülow, W Idler, L Schmalen… - Journal of Lightwave …, 2015 - opg.optica.org
Nonlinearity-induced phase noise has become a major obstacle in long-haul coherent fiber-
optic communication systems. Such phase noise has been shown to be signal dependent …

Equalization in dispersion-managed systems using learned digital back-propagation

M Abu-Romoh, N Costa, Y Jaouën, A Napoli… - Optics …, 2023 - opg.optica.org
In this paper, we investigate the use of the learned digital back-propagation (LDBP) for
equalizing dual-polarization fiber-optic transmission in dispersion-managed (DM) links …

Efficient deep learning of nonlinear fiber-optic communications using a convolutional recurrent neural network

A Shahkarami, MI Yousefi… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Nonlinear channel impairments are a major obstacle in fiber-optic communication systems.
To facilitate a higher data rate in these systems, the complexity of the underlying digital …

Achievable information rates for coded modulation with hard decision decoding for coherent fiber-optic systems

A Sheikh, AG i Amat, G Liva - Journal of Lightwave Technology, 2017 - opg.optica.org
We analyze the achievable information rates (AIRs) for coded modulation schemes with
quadrature amplitude modulation constellations with both bitwise and symbolwise decoders …

Influence of refractive index accurate model of supersonic vehicle window flow field on aero-optical characteristics

J Xie, L Bai, YK Wang, Q Lv, DM Zhang, L Guo - Optik, 2022 - Elsevier
Aircraft with a supersonic speed has a complex flow field around its optical window. The
precise modeling of the refractive index of the flow field is of great significance for the …

Stochastic digital backpropagation with residual memory compensation

NV Irukulapati, D Marsella, P Johannisson… - Journal of Lightwave …, 2016 - opg.optica.org
Stochastic digital backpropagation (SDBP) is an extension of digital backpropagation (DBP)
and is based on the maximum a posteriori principle. SDBP takes into account noise from the …

Efficient deep learning of kerr nonlinearity in fiber-optic channels using a convolutional recurrent neural network

A Shahkarami, MI Yousefi, Y Jaouen - Deep Learning Applications …, 2022 - Springer
The impairments arising from the Kerr nonlinearity in optical fiber are a major obstacle in
fiber-optic transmission systems. To compensate for these impairments at the receiver, the …

Fast fiber nonlinearity compensation method for PDM coherent optical transmission systems based on the Fourier neural operator

J Huang, A Yi, L Yan, X He, L Jiang, H Yang, B Luo… - Optics …, 2024 - opg.optica.org
Fiber nonlinearity compensation (NLC) is likely to become an indispensable component of
coherent optical transmission systems for extending the transmission reach and increasing …

Nonlinear compensation with DBP aided by a memory polynomial

J Gonçalves, CS Martins, FP Guiomar, TR Cunha… - Optics …, 2016 - opg.optica.org
Using digital backpropagation (DBP) based on the split step Fourier method (SSFM) aided
by a memory polynomial (MP) model, we demonstrate an improved DBP approach for fiber …

On the next generation bandwidth variable transponders for future flexible optical systems

A Napoli, M Nölle, D Rafique, JK Fischer… - … on Networks and …, 2014 - ieeexplore.ieee.org
Elastic optical networks represent one of the most promising candidates for the imminent
upgrade of current fixed-grid based optical systems. This novel architecture based on high …