Masaea, Alex and Kubokale, Martin and Kumar, Amit K. and Kumar, Rahul R. 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 effective-ness. We propose a ground simulation method for space laser communication with a transmission distanceof 53,000 km in free space using the laser as a means for information transmission. The simulation isverified using artificial intelligence and pattern recognition techniques, with Fresnel diffraction adopted as amathematical model to represent the system and its architecture, facilitating the creation of Matlab/Simulinkblocks for simulation. OptiSystem was used to calculate the power from the transmission distance. Thetransmission distance determined from the system is 53,000 km, with a receiving power of 2.72 ×10−10W.The simulations demonstrated that the power transmitted from an Earth station at arbitrary distances upto 53,000 km in space could be used to determine the power received by the receiving station. Predictionmodels were integrated into mathematical models to validate the results. The model’s performance wastested with up to 20%additive noise, including signal scattering, background radiation, and interference. Aladder network with entanglement and an isochronous neighbourhood function exhibited high performancein accurately predicting the output at low computation cost compared to other models. The optimized deepBayesian network technique, on the other hand, showed a high prediction rate and accuracy, albeit at theexpense of high computational cost.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QC Physics |
| Divisions: | School of Information Technology, Engineering, Mathematics and Physics (STEMP) |
| Depositing User: | Ms Shalni Sanjana |
| Date Deposited: | 07 Nov 2024 22:22 |
| Last Modified: | 07 Nov 2024 22:22 |
| URI: | https://repository.usp.ac.fj/id/eprint/14610 |
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