Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 36,
  • Issue 22,
  • pp. 5145-5151
  • (2018)

The Influence of Dispersion on Stimulated-Brillouin-Scattering-Based Microwave Photonic Notch Filters

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, the detrimental effects due to the inevitable dispersion of single-mode fibers for stimulated Brillouin scattering (SBS) based microwave photonic notch filters (MPNF) with sideband amplitude and phase control are investigated. With an inappropriate dispersion compensation, the experimental demonstration shows a notch center frequency shift of 8.3 MHz in maximum and a stopband rejection reduction by 21 dB for the MPNF. The simulation and experiment are in good agreement. Furthermore, the criteria of optimizing the filter performance are also discussed both theoretically and experimentally. These results can help design MPNF based on SBS and benefit other microwave photonic applications, which rely on the phase difference of optical waves.

© 2018 IEEE

PDF Article
More Like This
Tunable and reconfigurable photonic microwave filter based on stimulated Brillouin scattering

B. Vidal, M. A. Piqueras, and J. Martí
Opt. Lett. 32(1) 23-25 (2007)

Photonic chip based tunable and reconfigurable narrowband microwave photonic filter using stimulated Brillouin scattering

Adam Byrnes, Ravi Pant, Enbang Li, Duk-Yong Choi, Christopher G. Poulton, Shanhui Fan, Steve Madden, Barry Luther-Davies, and Benjamin J. Eggleton
Opt. Express 20(17) 18836-18845 (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.