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Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
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Polarization Drift Channel Model for Coherent Fibre-Optic Systems.
Cristian B Czegledi1, Magnus Karlsson2, Erik Agrell1
1Chalmers University of Technology, Department of Signals and Systems, SE-41296 Gothenburg, Sweden.
Scientific Reports
|February 25, 2016
Summary
A new theoretical framework models polarization drifts in fiber optics, generalizing phase noise to higher dimensions. This validated model enhances simulation and optimization for future coherent communication systems.
Area of Science:
- Optical Communications
- Photonics
- Theoretical Physics
Background:
- Coherent fiber-optic systems face challenges with polarization state changes during transmission.
- Existing models often treat polarization drift deterministically or overlook its impact on receiver performance.
Purpose of the Study:
- To introduce a novel theoretical framework for modeling dynamical polarization state changes in coherent fiber-optic systems.
- To generalize existing phase noise models to higher dimensions, incorporating random polarization drifts.
Main Methods:
- Developed a model generalizing the one-dimensional phase noise random walk to higher dimensions.
- Emulated polarization drift as a random walk on the Poincaré sphere.
- Described the model using Jones, Stokes, and real four-dimensional formalisms, deriving mappings between them.
- Verified the model using experimental data.
Main Results:
- Successfully modeled dynamical changes in the state of polarization during transmission.
- The model accurately emulates polarization drift as a random walk on the Poincaré sphere.
- Experimental verification confirmed the model's efficacy.
Conclusions:
- The proposed polarization drift model is the first of its kind, offering a significant advancement over prior deterministic or limited approaches.
- This model is crucial for simulating and optimizing future fiber-optic systems, particularly those employing polarization multiplexing and advanced digital signal processing.
- The framework is expected to benefit various photonics applications sensitive to stochastic polarization fluctuations.
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