Seeing the Modes in Few-Mode Fibers through Deep Learning

Yi An; Liangjin Huang; Jun Li; Jinyong Leng; Lijia Yang; Pu Zhou

Asia Communications and Photonics Conference (ACP) 2018
OSA Technical Digest (Optica Publishing Group, 2018),
paper Su3A.4

Seeing the Modes in Few-Mode Fibers through Deep Learning

Yi An, Liangjin Huang, Jun Li, Jinyong Leng, Lijia Yang, and Pu Zhou

Asia Communications and Photonics Conference 2018

Hangzhou China
26–29 October 2018
ISBN: 978-1-5386-6158-1

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Novel Fibers and Applications II (Su3A)

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Y. An, L. Huang, J. Li, J. Leng, L. Yang, and P. Zhou, "Seeing the Modes in Few-Mode Fibers through Deep Learning," in Asia Communications and Photonics Conference (ACP) 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Su3A.4.

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Abstract

We have first-ever utilized the deep learning (DL) in mode decomposition (MD) for few-mode fiber (FMF). Both of simulations and experiments have demonstrated that DL is highly effective for accurate and fast MD for FMF.

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