Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEO_Europe > 2000 > CThE > CThE28
  • Conference on Lasers and Electro-Optics Europe
  • Technical Digest Series (Optica Publishing Group, 2000),
  • paper CThE28

Auto-solitons guided by in-line nonlinear optical loop mirrors in dispersion-managed communication systems

Sonia Boscolo, Jeroen H.B. Nijhof, and Sergei K. Turitsyn

Not Accessible

Your library or personal account may give you access

Abstract

Both dispersion management [1] and the use of a nonlinear optical loop mirror (NOLM) as a saturable absorber [2] can improve the performance of a soliton-based communication system. Dispersion management gives the benefits of low average dispersion while allowing pulses with higher powers to propagate, which helps to suppress Gordon-Haus timing jitter without sacrificing the signal-to-noise ratio. The NOLM suppresses the buildup of amplifier spontaneous emission noise and background dispersive radiation which, if allowed to interact with the soliton, can lead to its breakup.

© 2000 IEEE

PDF Article
More Like This
Stabilization of dispersion-managed soliton transmission in systems with very large map strength by in-line nonlinear optical loop mirrors

Sonia Boscolo, Sergei K. Turitsyn, and Keith J. Blow
MC71 Nonlinear Guided Waves and Their Applications (NP) 2001

All-optical passive regeneration of 40 Gbit/s soliton data stream using dispersion management and in-line nonlinear optical loop mirrors

Sonia Boscolo, Sergei K. Turytsin, and Keith J. Blow
MF6 Optical Fiber Communication Conference (OFC) 2001

Working parameter region for soliton all-optical passive regeneration using dispersion management and nonlinear optical loop mirrors

Sonia Boscolo, Sergei K. Turitsyn, and Keith J. Blow
DNE267 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2001

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use