Single and double scattering event analysis for ultraviolet communication channels.

Area of Science:

• Optical Wireless Communications
• Atmospheric Optics
• Signal Processing

Background:

• Non-line-of-sight (NLOS) ultraviolet (UV) communication systems face challenges in performance evaluation due to high computational costs.
• Traditional Monte Carlo methods for path loss and impulse response calculations are computationally intensive, limiting real-time analysis under complex atmospheric conditions.

Purpose of the Study:

• To develop a computationally efficient channel analysis method for NLOS UV communication systems.
• To improve the speed and reliability of UV communication system performance evaluations, especially under adverse atmospheric conditions.

Main Methods:

• A novel sample-based UV channel characterization approach is proposed.
• The method utilizes fixed probability-based sampling, focusing on dominant single and double scattering events.
• Analysis considers realistic non-planar conditions with various fog and dust aerosols.

Main Results:

• The proposed approach achieves computational performance improvements of multiple orders of magnitude compared to Monte Carlo methods.
• Reliable channel characterization is demonstrated with significantly reduced complexity.
• The method effectively models the impact of aerosols like fog and dust on UV signal propagation.

Conclusions:

• The sample-based method offers a computationally efficient alternative for UV channel analysis in NLOS systems.
• This approach enables faster and more reliable performance evaluations under diverse atmospheric conditions.
• The findings are crucial for advancing the practical deployment of UV communication technologies.