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Updated: Mar 15, 2026
09:23
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
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Atmospheric Quantum Channels with Weak and Strong Turbulence
D Vasylyev1,2, A A Semenov1,3, W Vogel1
1Institut für Physik, Universität Rostock, Albert-Einstein-Straße 23, D-18059 Rostock, Germany.
Physical Review Letters
|September 10, 2016
Summary
This study models atmospheric transmittance for free-space optical signals, accounting for turbulence effects like beam wandering and shape deformation. The findings are crucial for reliable optical communication and navigation systems.
Area of Science:
- Optics and Photonics
- Atmospheric Physics
- Optical Communication Systems
Background:
- Free-space optical (FSO) signal transfer is vital for applications like quantum communication, precision navigation, and clock synchronization.
- Atmospheric turbulence significantly impacts FSO signal fidelity, causing fading and loss through various physical processes.
- Accurate modeling of these atmospheric effects is essential for robust FSO system design.
Purpose of the Study:
- To derive a probability distribution for atmospheric transmittance in FSO links.
- To incorporate key turbulence-induced effects: beam wandering, beam shape deformation, and beam broadening.
- To develop a model applicable across a wide range of turbulence conditions.
Main Methods:
- Development of the elliptic beam approximation model.
- Analysis of light propagation through atmospheric turbulence.
- Derivation of transmittance probability distributions.
Main Results:
- The elliptic beam approximation provides a comprehensive model for atmospheric transmittance.
- The model accurately accounts for beam wandering, shape deformation, and broadening effects.
- The model is validated for weak, weak-to-moderate, and strong turbulence regimes.
Conclusions:
- The elliptic beam approximation offers a robust framework for analyzing FSO signal propagation in atmospheric turbulence.
- This model enhances the understanding and prediction of signal loss in diverse atmospheric conditions.
- The findings support the development of more reliable FSO communication and navigation technologies.
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