Distance and spectral power profile shaping using machine learning enabled Raman amplifiers

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Abstract

We propose a Convolutional Neural Network (CNN) to learn the mapping between the 2D power profiles, (distance and frequency), and the Raman pumps. Using the CNN, the pump powers and wavelengths for arbitrary 2D profiles can be determined with high accuracy.
Original languageEnglish
Title of host publicationProceedings of 2021 IEEE Photonics Society Summer Topicals Meeting Series
Number of pages2
PublisherIEEE
Publication date2021
ISBN (Print)978-1-6654-4673-0
DOIs
Publication statusPublished - 2021
Event2021 IEEE Photonics Society Summer Topicals Meeting Series - Virtual Conference
Duration: 19 Jul 202121 Jul 2021

Conference

Conference2021 IEEE Photonics Society Summer Topicals Meeting Series
LocationVirtual Conference
Period19/07/202121/07/2021
Series2017 Ieee Photonics Society Summer Topical Meeting Series (sum)
ISSN2376-8614

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