Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2013 Conference on Lasers and Electro-Optics - International Quantum Electronics Conference
  • (Optica Publishing Group, 2013),
  • paper CD_P_31

Monolithic PM Raman fiber laser at 1679 nm for Raman amplification at 1810 nm

Not Accessible

Your library or personal account may give you access

Abstract

Stimulated Raman scattering (SRS) has been subject to much attention within the field of fiber lasers and amplifiers as it provides an extended wavelength coverage in comparison to rare-earth based devices. Motivated by the projected capacity crunch [1], different approaches are being explored to increase the capacity of communication systems [2]. One approach is by exploiting new optical wavelength bands, outside the conventional amplification windows. In the development of lasers and amplifiers in the short wave IR above the Erbium band, SRS seems to be a promising candidate. In this paper we demonstrate a monolithic RM Raman fiber laser (RFL), which acts as a pump for a Raman amplifier (RA) at 1810 nm. The lasing wavelength of a RFL, thus also for a RA, can in principle be designed arbitrarily within the entire wavelength range from the Erbium band up to the Thulium/Holmium band by the utilization of cascaded SRS [3].

© 2013 IEEE

PDF Article
More Like This
PM Raman fiber laser at 1679 nm

Ask Sebastian Svane and Karsten Rottwitt
JTu5A.28 Access Networks and In-house Communications (ANIC) 2012

Highly Stable PM Raman Fiber Laser at 1680 nm

Ask Sebastian Svane, Xiaomin Liu, and Karsten Rottwitt
CW1M.6 CLEO: Science and Innovations (CLEO:S&I) 2013

1480 nm Two-cascaded Highly Efficient Raman Fiber Laser

I.A. Bufetov, M.M. Bubnov, Y.V. Larionov, M.A. Melkoumov, A.A. Rybaltovsky, S.L. Semjonov, E.M. Dianov, S.K. Vartapetov, A.Z. Obidin, and M.A. Kurzanov
CThJ5 Conference on Lasers and Electro-Optics (CLEO:S&I) 2002

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.