Monte-Carlo based vertical underwater optical communication performance analysis with chlorophyll depth profiles

Area of Science:

• Optical Engineering
• Underwater Communications
• Signal Processing

Background:

• Underwater wireless optical communication (UWOC) offers high speed and security but suffers from signal degradation due to water's optical properties.
• Absorption and scattering by particles in water cause path loss and pulse spreading, complicating channel modeling.
• Effective channel impulse response (CIR) analysis is crucial for reliable UWOC system design.

Purpose of the Study:

• To develop and validate a channel impulse response (CIR) model for two-way underwater vertical line-of-sight (LOS) communication systems.
• To evaluate the performance of different models in characterizing CIR under various water conditions and transceiver setups.
• To provide a basis for optimizing underwater vertical channel performance.

Main Methods:

• Utilized Monte Carlo Simulation (MCS) to plot CIR curves based on the inherent optical property (IOP) model and Kopelevich phase function.
• Fitted simulation results using the Double Gamma Function (DGF) and Gaussian models.
• Derived a closed-form expression for CIR using the superior Gaussian model.

Main Results:

• The Gaussian model demonstrated superior performance over the DGF model across all tested water conditions.
• Simulation results provided detailed CIR curves influenced by water type and transceiver configurations.
• The Gaussian model's closed-form expression facilitated calculations for system bit error rate (BER) and 3-dB bandwidth.

Conclusions:

• The Gaussian model provides an effective method for analyzing CIR in underwater vertical LOS communication.
• The study's findings are applicable to the design and optimization of UWOC systems.
• Accurate channel modeling is essential for mitigating signal degradation and ensuring reliable underwater optical communication.