Data transmission in a multimode optical fiber using a neural network

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 lig...

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Bibliographic Details
Published in:American journal of physics 2022-12, Vol.90 (12), p.940-947
Main Author: Kuusela, Tom A.
Format: Article
Language:English
Subjects:
Carbon fibers
Data transmission
Neural networks
Propagation
Transmission electron microscopy
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Summary: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.
ISSN:0002-9505
1943-2909
DOI:10.1119/5.0102369