A1 Refereed original research article in a scientific journal

Data transmission in a multimode optical fiber using a neural network




AuthorsKuusela Tom A

PublisherAIP Publishing

Publication year2022

JournalAmerican Journal of Physics

Journal name in sourceAMERICAN JOURNAL OF PHYSICS

Journal acronymAM J PHYS

Volume90

Issue12

First page 940

Last page947

Number of pages8

ISSN0002-9505

DOIhttps://doi.org/10.1119/5.0102369

Web address https://aapt.scitation.org/doi/10.1119/5.0102369

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/177290631


Abstract
In digital data transmission, single mode optical fibers are commonly used since they can carry very short optical pulses without any significant distortions. In contrast, multimode fibers support many propagation modes that travel with different speeds; thus, they cannot maintain the shape of a light pulse. This feature of multiple propagation modes can be a benefit since it makes possible the transmission of data through several channels simultaneously. We demonstrate how multimode fibers can be used to transmit images. Because of the different propagation constants of the modes, the transmitted image is scrambled to apparently random speckle patterns. A simple neural network can be used to model the transmission through the multimode fiber. We show how the neural network can be trained to recognize a set of patterns with high accuracy. (C) 2022 Published under anexclusive license by American Association of Physics Teachers.

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Last updated on 2024-26-11 at 14:11