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Spectral polarimetry with a differential group delay bias
Paul S Westbrook1, Lynn E Nelson, Stephan Wielandy
1OFS Laboratories, Murray Hill, New Jersey 07974, USA. westbrook@ofsoptics.com
Optics Letters
|November 24, 2004
Summary
This study introduces biased spectral polarimetry for measuring optical fiber polarization mode dispersion without input polarization control. Averaging multiple measurements enhances accuracy and data validity for 40-Gbit/s signals.
Area of Science:
- Optical Engineering
- Photonics
- Telecommunications
Background:
- Accurate measurement of polarization mode dispersion (PMD) is crucial for high-speed optical communication systems.
- Traditional PMD measurement techniques often require precise control of the input polarization state.
- Spectral polarimetry offers a method for analyzing polarization properties across different wavelengths.
Purpose of the Study:
- To enhance the amount of polarization information extracted from spectral measurements.
- To develop a PMD measurement technique for optical fibers that does not necessitate input polarization control.
- To assess the performance of the improved technique on 40-Gbit/s optical signals.
Main Methods:
- Implemented a spectral polarimeter augmented with a polarization controller and bias differential group delay.
- Applied biased spectral polarimetry to measure PMD of optical fibers carrying 40-Gbit/s signals.
- Investigated the effect of averaging multiple measurements from different polarization controller settings on accuracy and data yield.
Main Results:
- The addition of a polarization controller and bias differential group delay significantly increased extractable polarization information.
- Successful measurement of optical fiber PMD was achieved without active control of the polarization at the fiber input.
- Averaging measurements and applying data rejection improved both the accuracy and the number of valid data points obtained.
Conclusions:
- Biased spectral polarimetry is an effective method for measuring optical fiber PMD, simplifying experimental requirements.
- The technique demonstrates robustness and improved data quality through measurement averaging.
- This advancement contributes to more reliable characterization of optical fiber transmission properties for high-speed networks.