Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 21,
  • Issue 2,
  • pp. 432-
  • (2003)

Accurate Spectral Characterizationof Polarization-Dependent Loss

Not Accessible

Your library or personal account may give you access

Abstract

Building on previous work, a rapid automated nonmechanical measurement system for spectral characterization of polarization-dependent loss (PDL) has been developed. A deterministic fixed-states Mueller-Stokes method in conjunction with realtime calibrated spectral information is used to derive wavelength-dependent Mueller matrix elements. Voltage-modulated liquid-crystal variable retarders set the input polarization states. A narrow voltage-tuned filter provides a wavelength sweep following a broadband source; the sweep wavelength is calibrated in realtime by hydrogen cyanide reference lines. This rapid measurement system can measure PDL over a wavelength range of 15 nm in 5 s. A complete uncertainty analysis has been conducted for PDL in the range of 0.05 to 0.3 dB with an expanded uncertainty of 0.0098 dB over the range of 1535 to 1560 nm. Performance was verified using a Fresnel reference. Finally, design and performance results from all-fiber artifact calibration standards are presented.

[IEEE ]

PDF Article
More Like This
Fast polarization-dependent loss measurement based on continuous polarization modulation

Bogdan Szafraniec, Rüdiger Mästle, Bernd Nebendahl, Evan Thrush, and Douglas M. Baney
Appl. Opt. 48(3) 573-578 (2009)

Spectral polarization-dependent loss of cascaded long-period fiber gratings

Byeong Ha Lee, Jaehee Cheong, and Un-Chul Paek
Opt. Lett. 27(13) 1096-1098 (2002)

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)

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.