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首页> 外文期刊>Applied optics >Comparison of different models for ground-level atmospheric turbulence strength (C-n(2)) prediction with a new model according to local weather data for FSO applications
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Comparison of different models for ground-level atmospheric turbulence strength (C-n(2)) prediction with a new model according to local weather data for FSO applications

机译：根据FSO应用的当地天气数据，将不同模型的地面大气湍流强度（C-n（2））预测与新模型进行比较

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Atmospheric parameters strongly affect the performance of free-space optical communication (FSOC) systems when the optical wave is propagating through the inhomogeneous turbulence transmission medium. Developing a model to get an accurate prediction of the atmospheric turbulence strength (C-n(2)) according to meteorological parameters (weather data) becomes significant to understand the behavior of the FSOC channel during different seasons. The construction of a dedicated free-space optical link for the range of 0.5 km at an altitude of 15.25 m built at Thanjavur (Tamil Nadu) is described in this paper. The power level and beam centroid information of the received signal are measured continuously with weather data at the same time using an optoelectronic assembly and the developed weather station, respectively, and are recorded in a data-logging computer. Existing models that exhibit relatively fewer prediction errors are briefed and are selected for comparative analysis. Measured weather data (as input factors) and C-n(2) (as a response factor) of size [177, 147 x 4] are used for linear regression analysis and to design mathematical models more suitable in the test field. Along with the model formulation methodologies, we have presented the contributions of the input factors' individual and combined effects on the response surface and the coefficient of determination (R-2) estimated using analysis of variance tools. An R-2 value of 98.93% is obtained using the new model, model equation V, from a confirmatory test conducted with a testing data set of size [2000 x 4]. In addition, the prediction accuracies of the selected and the new models are investigated during different seasons in a one-year period using the statistics of day, week-averaged, month-averaged, and seasonal-averaged diurnal C-n(2) profiles, and are verified in terms of the sum of absolute error (SAE). A C-n(2) prediction maximum average SAE of 2.3 x 10(-13) m(-2/3) is achieved using the new model in a longer range of dynamic meteorological parameters during the different local seasons. (C) 2015 Optical Society of America
机译：当光波通过非均匀湍流传输介质传播时，大气参数会严重影响自由空间光通信（FSOC）系统的性能。开发模型以根据气象参数（天气数据）准确预测大气湍流强度（C-n（2））对于了解不同季节FSOC通道的行为具有重要意义。本文描述了在坦贾武尔（泰米尔纳德邦）建造的专用自由空间光链路，其高度为0.5 km，在15.25 m的高度上建立。分别使用光电组件和已开发的气象站同时用气象数据连续测量接收信号的功率电平和波束质心信息，并将其记录在数据记录计算机中。对呈现出相对较少的预测误差的现有模型进行简要介绍，并选择它们进行比较分析。大小为[177，147 x 4]的实测气象数据（作为输入因子）和C-n（2）（作为响应因子）用于线性回归分析，并设计更适合于测试领域的数学模型。连同模型制定方法，我们已经介绍了输入因子对响应面的单个和组合影响以及使用方差分析估计的确定系数（R-2）的贡献。使用新模型（模型方程V），通过使用大小为[2000 x 4]的测试数据集进行的验证性测试，可以得出98.93％的R-2值。此外，在一年中的不同季节，使用每日，每周平均，每月平均和季节性平均每日Cn（2）资料统计数据，研究了所选模型和新模型的预测准确性。根据绝对误差之和（SAE）进行验证。使用新模型在不同本地季节的更长范围内的动态气象参数中，可以实现2.3 x 10（-13）m（-2/3）的C-n（2）预测最大平均SAE。 （C）2015年美国眼镜学会

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