Mitigation of nonlinear fiber distortion using optical phase conjugation for mode-division multiplexed transmission

Zhang, Kai; Gao, Guanjun; Zhang, Jie; Fei, Aimei; Cvijetic, Milorad

doi:10.1016/j.yofte.2018.05.010

Cited by 6 publications

(1 citation statement)

References 33 publications

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“…Currently, the main limiting factor of the modern systems, relying on single-mode fibers (SMFs), is the intensity-dependent Kerr nonlinearity. Coarsely, methods for mitigation of nonlinear effects in SMFs can be divided into two categories: optical [2][3][4] and digital [5][6][7][8][9][10][11][12] . The former implies utilization of optical devices and relevant physical effects for lowering the impact of nonlinearities, whereas the latter relies on digital signal processing (DSP) and implementation of numerical algorithms, compensating for the corresponding impairments.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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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.

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