Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 35,
  • Issue 22,
  • pp. 4845-4850
  • (2017)

Self-Seeded RSOA Fiber Cavity Laser and the Role of Rayleigh Backscattering—An Analytical Model

Not Accessible

Your library or personal account may give you access

Abstract

Reflective semiconductor optical amplifiers (RSOAs) in a fiber cavity are attractive self-seeding optical sources for wavelength division multiplexed (WDM) access networks. This paper presents an analytical model of this fiber cavity laser (FCL). The model accounts for the Rayleigh backscattering (RB) of the fiber cavity as a primary mechanism of optical feedback inside the FCL. Moreover, it also includes the reflectivity of the remote node mirror. The purpose of the model is to analytically estimate the threshold RSOA gain required for the FCL to lase, by taking into account the fiber cavity length, the related attenuation and the RB. The model is suitable to experimentally characterize the Rayleigh backscattering coefficient, once the threshold gain of RSOA-FCL is measured.

PDF Article
More Like This
Replica symmetry breaking in a Rayleigh backscattering-based random fiber laser

Bismarck Costa Lima, Pedro Tovar, André L. Moura, and Jean Pierre von der Weid
J. Opt. Soc. Am. B 40(7) 1680-1687 (2023)

C- and O-Band Operation of RSOA WDM PON Self-Seeded Transmitters up to 10  Gb/s [Invited]

Paola Parolari, Lucia Marazzi, Marco Brunero, Mario Martinelli, Romain Brenot, Anaelle Maho, Sophie Barbet, Giancarlo Gavioli, Gael Simon, Sy Dat Le, Fabienne Saliou, and Philippe Chanclou
J. Opt. Commun. Netw. 7(2) A249-A255 (2015)

System evaluation of economic 16/32chs 1.25Gbps WDM-PON with self-seeded RSOA

Yiran Ma, Dekun Liu, Jingwen Yu, and Xiaomu Wang
Opt. Express 20(20) 22523-22530 (2012)

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.