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PMD correlation properties in the hinge model.

George Soliman1, David Yevick

  • 1Department of Physics, University of Waterloo, Waterloo, Ontario, Canada. gsoliman@sciborg.uwaterloo.ca

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|March 5, 2013
PubMed
Summary
This summary is machine-generated.

Polarization mode dispersion (PMD) vector correlation is mainly influenced by the last hinge's position. The correlation width decreases with more hinges, and an upper bound for differential group delay is derived.

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Area of Science:

  • Optical Fiber Communications
  • Polarization Mode Dispersion (PMD) Analysis

Background:

  • Polarization mode dispersion (PMD) is a significant impairment in optical fiber systems, affecting signal quality.
  • Understanding the statistical properties of PMD, such as its vector correlation function, is crucial for mitigation strategies.

Purpose of the Study:

  • To investigate the impact of hinge position and number on the PMD vector correlation function within the hinge model framework.
  • To theoretically derive an upper bound for the differential group delay in the final fiber section.

Main Methods:

  • Analysis of the PMD vector correlation function averaged over time and wavelength.
  • Application of the standard hinge model to study the correlation function width.
  • Theoretical derivation of an upper bound for mean squared differential group delay.

Main Results:

  • The averaged PMD vector correlation function is primarily sensitive to the position of the last hinge.
  • The correlation function width exhibits a near-monotonic decrease as the number of hinges increases.
  • An analytical upper bound for the mean squared differential group delay of the last fiber section was established.

Conclusions:

  • The hinge model provides insights into PMD vector correlation behavior, highlighting the dominant role of the final hinge.
  • The number of hinges significantly influences the correlation width, suggesting potential for PMD management.
  • The derived upper bound offers a theoretical limit for differential group delay, aiding in system design and performance evaluation.