Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 28,
  • Issue 7,
  • pp. 1011-1015
  • (2010)

Temperature Insensitive All-Fiber Compact Polarization-Maintaining Photonic Crystal Fiber Based Interferometer and Its Applications in Fiber Sensors

Not Accessible

Your library or personal account may give you access

Abstract

A novel temperature insensitive all-fiber compact polarization-maintaining photonic crystal fiber (PMPCF) based interferometer was presented. The coupling between the PMPCF and single mode fiber (SMF) was investigated experimentally and analytically. With an all-fiber compact SMF-PMPCF-SMF structure, the cladding modes propagating in the PMPCF can be effectively excited by finely core-offsetting one splice between the PMPCF and SMF. With the increase of the core-offset, the interference depth of the interference pattern enlarges accordingly. Under a suitable core-offset, the PMPCF based interferometer with high interference depth can be obtained. Moreover, it is temperature insensitive due to its ultra-low thermal characteristics. We also demonstrated its applications in strain and refractive index measurement. The sensors have the advantages of small size, simple and compact all fiber structure, high sensitivity, and temperature insensitiveness.

© 2010 IEEE

PDF Article
More Like This
Low-splicing-loss polarization-maintaining photonic-crystal-fiber-based Sagnac interferometer and its cladding-mode effect

Bo Dong, Jianzhong Hao, Zhaowen Xu, Chin-Yi Liaw, Yu Song Meng, and Zhaohui Cai
Appl. Opt. 49(14) 2630-2634 (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.