Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 30,
  • Issue 18,
  • pp. 2983-2987
  • (2012)

Combined Effect of ASE and DRBS on Noise in Pulse-Pumped Fiber Raman Amplifiers

Not Accessible

Your library or personal account may give you access

Abstract

Amplified spontaneous emission (ASE) and double Rayleigh backscattering (DRBS) degrade the effective noise figure (ENF) and ultimately limit the performance of fiber Raman amplifiers (FRAs). This limitation is especially severe when a time-division-multiplexed (TDM) pumping scheme is employed. In this paper, we theoretically study the joint impact of ASE and DRBS on ENF in pulse-pumped FRAs. We demonstrate that the ASE is the major source of noise for small pump duty cycles, whereas DRBS dominates when a typical FRA operates in the continuous-wave regime. If the pump power is gradually increased, ENF improves until the gain reaches an optimal value. We show the increase of the optimal gain with pump duty cycle and with decreasing fiber scattering efficiency. Our study reveals the importance of taking into account the effects of both ASE and DRBS for an accurate estimation of ENF penalty in pulse-pumped FRAs, especially operating at high gains when pump duty cycle is small.

© 2012 IEEE

PDF Article
More Like This
Gain properties of multi-wavelength time division multiplexed Raman amplifier

Andrew A. B. Tio and P. Shum
Opt. Express 14(12) 5061-5066 (2006)

Spectral gain control using shaped pump pulses in a counter-pumped cascaded fiber Raman amplifier

Carl Farrell, Christophe A. Codemard, and Johan Nilsson
Opt. Express 18(23) 24126-24139 (2010)

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.