研究目的
To present an overview of selected aspects of wireless communications for military applications, focusing on performance analysis of radio and free space optics technologies, and to define possibilities of radio-optical hybrid systems.
研究成果
The analysis indicates that wireless communication technologies, including FSO and RF, are crucial for military data transmission. Effective spectrum management (e.g., Dynamic Spectrum Access) and the development of hybrid FSO/RF systems can enhance data security, reduce detection possibility, and provide new capabilities for military applications, despite limitations from atmospheric conditions.
研究不足
FSO systems are limited by weather conditions (e.g., absorption, scattering, turbulence) and require line-of-sight operation. The analytical model and tests show strong influence of atmospheric phenomena, which can restrict data range and reliability.
1：Experimental Design and Method Selection:
The paper includes analytical modeling of FSO links to determine Signal-to-Noise Ratio (SNR), considering laser pulse operation, optical systems, detection module parameters, and propagation performances. Preliminary tests of a constructed FSO setup were carried out outdoors under various weather conditions.
2：Sample Selection and Data Sources:
Tests were performed using a laboratory model of an LWIR-FSO link developed at the Institute of Optoelectronics, with data collected during winter 2018 for different weather conditions.
3：List of Experimental Equipment and Materials:
Equipment includes Quantum Cascade Lasers (QCL), detection modules, off-axis parabolic mirrors, signal patterns generator (Picosecond 12000), and digital serial analyzer (DSA 70000, Tektronix).
4：Experimental Procedures and Operational Workflow:
The FSO transceiver system was placed in a laboratory, with laser beam directed towards a building wall at ~200 m distance. Output signals from the detection module were analyzed using the digital serial analyzer to determine SNR changes.
5：Data Analysis Methods:
Signal amplitude distribution and standard deviation were analyzed to assess the impact of weather conditions, such as snowfall rates, on SNR.
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