Masaea, Alex and Kubokale, Martin and Kumar, Amit and Kumar, Rahul and Assaf, Mansour and Kumar, Sushil (2024) Ground Simulation and Pattern Recognition for Arbitrary Distance Optical Transmission of a Free-Space Laser Communication System. IEEE Access, 12 . pp. 128662-128676. ISSN 2169-3536
Full text not available from this repository.Abstract
Ground simulation methods have gained significant research attention due to their effectiveness. We propose a ground simulation method for space laser communication with a transmission distance of 53,000 km in free space using the laser as a means of information transmission. The simulation is verified using artificial intelligence and pattern recognition techniques, with Fresnel diffraction adopted as a mathematical model to represent the system and its architecture, facilitating the creation of Matlab/Simulink blocks for simulation. OptiSystem was used to calculate the power from the transmission distance. The transmission distance determined from the system is 53,000 km, with a receiving power of 2.72×10−10 W. The simulations demonstrated that the power transmitted from an Earth station at arbitrary distances up to 53,000 km in space could be used to determine the power received by the receiving station. Prediction models were integrated into mathematical models to validate the results. The model’s performance was tested with up to 20% additive noise, including signal scattering, background radiation, and interference. A ladder network with entanglement and an isochronous neighbourhood function exhibited high performance in accurately predicting the output at low computation cost compared to other models. The optimized deep Bayesian network technique, on the other hand, showed a high prediction rate and accuracy, albeit at the expense of high computational cost.
| Item Type: | Journal Article |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
| Depositing User: | Mansour Assaf |
| Date Deposited: | 07 May 2025 00:19 |
| Last Modified: | 07 May 2025 00:19 |
| URI: | https://repository.usp.ac.fj/id/eprint/14933 |
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