Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 19,
  • Issue 8,
  • pp. 1206-
  • (2001)

Fiber Bragg Grating (FBG) Characterization and Shaping by Local Pressure

Not Accessible

Your library or personal account may give you access

Abstract

The spatial distribution of the chirp profile of a 4-cm-long nonuniform fiber Bragg grating (FBG) was studied with the exertion of local pressure on the fiber through the application of transverse force to a small grating section (0.3 mm). The technique was also used for spectrally shaping a previously unchirped, 18-cm-long Bragg grating, generating a narrow transmission window ( 400 MHz) inside its reflective band. A physical model was developed in order to estimate the phase shifts induced by pressure. A numerical simulation based on the piecewise-uniform approach was also used to calculate the consequent changes in reflected spectrum. Experimental and theoretical data show good agreement and the pressure technique proved to be adequate for grating characterization and spectral shaping.

[IEEE ]

PDF Article
More Like This
Spectral characterization of polarization dependent loss of locally pressed fiber Bragg grating

Yiping Wang, Ming Wang, and Xiaoqin Huang
Opt. Express 19(25) 25535-25544 (2011)

Local coupling-coefficient characterization in fiber Bragg gratings

Ph. Giaccari, H. G. Limberger, and R. P. Salathé
Opt. Lett. 28(8) 598-600 (2003)

Spectral shaping of fiber Bragg gratings based on non-rigid origami

Zhu-Long Xu, Yu-Han Wang, and Kuo-Chih Chuang
Opt. Lett. 46(19) 4825-4827 (2021)

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.