A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Data transmission in a multimode optical fiber using a neural network
Tekijät: Kuusela Tom A
Kustantaja: AIP Publishing
Julkaisuvuosi: 2022
Journal: American Journal of Physics
Tietokannassa oleva lehden nimi: AMERICAN JOURNAL OF PHYSICS
Lehden akronyymi: AM J PHYS
Vuosikerta: 90
Numero: 12
Aloitussivu: 940
Lopetussivu: 947
Sivujen määrä: 8
ISSN: 0002-9505
DOI: https://doi.org/10.1119/5.0102369
Verkko-osoite: https://aapt.scitation.org/doi/10.1119/5.0102369
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/177290631
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
