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Prediction of data stream parameters in atmospheric turbulent wireless communication links
A Tiker1, N Yarkoni, N Blaunstein
1Ben-Gurion University of Negev, Beer-Sheva, Israel.
Applied Optics
|February 3, 2007
Summary
This study presents a unified method for calculating atmospheric optical communication data stream parameters, accounting for turbulence-induced irradiance fluctuations. The approach accurately predicts signal-to-noise ratio, bit error rate, and channel capacity, showing improved performance at higher altitudes.
Area of Science:
- Optical Communications
- Atmospheric Physics
- Information Theory
Background:
- Atmospheric optical communication is susceptible to signal fading caused by turbulence.
- Existing models often lack a unified approach to describe turbulence effects and their impact on data stream parameters.
- The gamma-gamma distribution and Ricean K-parameter distribution are key elements in modeling signal propagation through turbulent media.
Purpose of the Study:
- To develop a unified approach for calculating information data stream parameters in atmospheric optical communication.
- To establish a relationship between signal scintillation and the Ricean K-parameter for a generalized probability density function (pdf).
- To reliably predict the effects of fading across different turbulence levels and altitudes.
Main Methods:
- Utilizing irradiance fluctuations and a generalized Ricean K-parameter distribution for calculations.
- Employing the Kolmogorov scheme and gamma-gamma distribution to describe turbulence effects.
- Relating the Ricean parameter (K) to the signal scintillation parameter (sigma_I^2) for a unified pdf.
Main Results:
- A unified pdf of signal fading was developed, incorporating turbulence effects.
- Signal-to-noise ratio (SNR), bit error rate (BER), and channel capacity (C) were estimated using the developed pdf and parameter K.
- Fading effects occur more frequently at lower altitudes (100-200 m) compared to higher altitudes (1-2 km).
Conclusions:
- The unified approach enables reliable prediction of fading effects in atmospheric wireless communication links.
- Higher altitudes lead to improved data stream parameters like channel capacity and SNR, with a negligible BER.
- The findings align with experimental data across various atmospheric levels.
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