Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 33,
  • Issue 12,
  • pp. 2598-2604
  • (2015)

Fully Switchable Multi-Wavelength Fiber Lasers Based on Random Distributed Feedback for Sensors Interrogation

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, the experimental study and characterization of a novel real-time switchable multi-wavelength fiber laser has been carried out. Two different gain materials, such as a 50-km SMF and a 2.5-km DCF fibers were characterized and compared, respectively. The MWFL can generate any wavelength combination with an emission lines distance of 50, 100, and 200 GHz fitting the ITU grid specifications. By using both Er-doped fiber and Raman amplification, a ∼30-nm-wide lasing window at the C band can be utilized to create up to 30 different lasing wavelengths into the ITU Grid, that can be switched automatically and in realtime when desired. Utilization of such a laser for versatile interrogation of different sensing networks is also shown.

© 2015 IEEE

PDF Article
More Like This
Fully switchable multiwavelength fiber laser assisted by a random mirror

V. DeMiguel-Soto, M. Bravo, and M. Lopez-Amo
Opt. Lett. 39(7) 2020-2023 (2014)

Tunable and switchable multi-wavelength random distributed feedback fiber laser based on SMF and a cascaded Sagnac ring filter

Honggang Pan, Zhanzhi Liu, Ailing Zhang, Taotao Guo, and Yaomei Peng
Appl. Opt. 61(16) 4779-4783 (2022)

Ultra-long (290 km) remote interrogation sensor network based on a random distributed feedback fiber laser

V. DeMiguel-Soto, D. Leandro, and M. Lopez-Amo
Opt. Express 26(21) 27189-27200 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.