Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 21,
  • Issue 4,
  • pp. 953-
  • (2003)

A Comprehensive Study on XPM-and SRS-Induced Noise in Cascaded IM-DD Optical Fiber Transmission Systems

Not Accessible

Your library or personal account may give you access

Abstract

A comprehensive study of XPM-and SRS-induced crosstalk noise evolution as well as their interaction along lossy, nonlinear dispersive fiber in a cascaded IM-DD system is performed analytically and numerically. XPM-induced intensity noise (XPMN) comes mainly from few adjacent channels, featuring in higher frequency and higher noise power per contributing channel; while SRS-induced intensity noise (SRSN) comes mainly from all the distant channels,featuring in lower frequency and lower noise power per contributing channel. Interaction between XPMN and SRSN depends on the relative wavelength location between pump and probe as well as dispersion management scheme, and may add either constructively or destructively. SRSN may even exceed XPMN in some cases. In a system with complete dispersion compensation in each span, XPMN,SRSN, and their interaction are all proportional to the square of span number. In dispersion-managed systems, SRSN can be enhanced significantly by resonance effect between fiber spans. On the other hand, XPMN can be markedly suppressed by dispersion management, due mainly to much weaker phase-to-intensity noise conversion through residual dispersion.

© 2003 IEEE

PDF Article
More Like This
Optoelectronic method for inline compensation of XPM in long-haul optical links

Benjamin Foo, Bill Corcoran, and Arthur Lowery
Opt. Express 23(2) 859-872 (2015)

Analytical modeling of XPM in dispersion-managed coherent fiber-optic systems

Xiaojun Liang and Shiva Kumar
Opt. Express 22(9) 10579-10592 (2014)

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.