研究目的
Investigating the effects of atmospheric turbulence on Free Space Optical Communication (FSOC) performance by developing a low-cost system for measuring local meteorological parameters and estimating atmospheric turbulence strength (C2n).
研究成果
The proposed low-cost measurement system achieved high accuracy in measuring meteorological parameters, with correlation coefficients up to 99.92%. The estimated atmospheric turbulence strength (C2n) showed good correlation with direct measurements, validating the system's effectiveness for FSOC performance analysis under various environmental conditions.
研究不足
The PAMELA model has a high sensitivity to wind speed, leading to low correlation in some conditions. The system's accuracy is affected by sensor precision and linearity over time.
1：Experimental Design and Method Selection:
A field test scintillometer setup was established for a link range of 0.5 km at an altitude of 15.25 m. Specialized sensors were interfaced to digital architectures to acquire real-time data corresponding to atmospheric changes.
2：5 km at an altitude of 25 m. Specialized sensors were interfaced to digital architectures to acquire real-time data corresponding to atmospheric changes.
Sample Selection and Data Sources:
2. Sample Selection and Data Sources: Meteorological parameters (wind speed, temperature, relative humidity, and pressure) were measured every second (at the rate of 1 Hz) and one-minute average data were recorded for several diurnal periods in different seasons.
3：List of Experimental Equipment and Materials:
Cup Anemometer, Temperature and Relative Humidity Sensor (SHT11), Absolute Pressure Sensor (SCP1000-D01), Xilinx-Virtex-5 LX50T FPGA platform.
4：Experimental Procedures and Operational Workflow:
Sensors were interfaced with the digital architecture developed in the FPGA. A proper synchronization was maintained between the architecture and the sensors by the clock manager for precise on-time data conversion and acquisition process.
5：Data Analysis Methods:
The accuracy and performance of the measurement system were tested against standard instruments. Atmospheric turbulence strength was estimated using the PAMELA model with measured data.
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