Fast Multi Step-Index Mode Solver for Analysis and Optimization of Optical Fiber Performance

Anisimov, Pavel S.; Motolygin, V. S.; Zemlyakov, V. V.; Gao, Jiexing

doi:10.1109/jlt.2022.3143320

Search citation statements

Order By: Relevance

Paper Sections

Select...

Nonlinear Light Propagation In Fmfs1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article6

Relationship

Self Cite0

Independent6

Authors

Journals

Cited by 6 publications

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where φ i x, y are normalized transverse mode eigenfunctions [37] and N is the number of modes. The goal of MD-DNN is inferring Re A i and Im A i from Ix, y.…”

Section: Nonlinear Light Propagation In Fmfsmentioning

confidence: 99%

Speckle backpropagation for compensation of nonlinear effects in few-mode optical fibers

et al. 2023

View full text Add to dashboard Cite

We propose an alternative approach to compensation of intermodal interactions in few-mode optical fibers by means of digital backpropagation. Instead of solving the inverse generalized multimode nonlinear Schrödinger equation, we accomplish backpropagation of the multimode signals with help of their near-field intensity distributions captured by a camera. We demonstrate that this task can successfully be handled by a deep neural network and provide a proof of concept by training an autoencoder for backpropagation of six linearly polarized (LP) modes of a step-index fiber.

show abstract

“…where φ i x, y are normalized transverse mode eigenfunctions [37] and N is the number of modes. The goal of MD-DNN is inferring Re A i and Im A i from Ix, y.…”

Section: Nonlinear Light Propagation In Fmfsmentioning

confidence: 99%