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Implications of 4D Weather Cubes for improved Cloud Free Line of Sight assessments of Free Space Optical communications link performance

机译:4D天气多维数据集对改进的云自由空间光学通信链路性能的自由视线的影响

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This study advances the benefits of previously reported 4D Weather Cubes towards creation of high fidelity cloud free line of sight (CFLOS) beam propagation for realistic assessment of auto-tracked/dynamically routed free space optical communication datalink concepts. 4D Weather Cubes are the product of efficient processing of large, computationally intensive, National Oceanic and Atmospheric Administration (NOAA) gridded numerical weather prediction (NWP) data coupled with embedded physical relationships governing cloud, fog, and precipitation formation to render highly realistic 4D cloud free line of sight analytical environments. The Weather Cubes accrue parameterization of optical effects and custom atmospheric resolution through implementation of the verified and validated Laser Environmental Effects Definition and Reference (LEEDR) atmospheric characterization and radiative transfer code. 4D Weather Cube analyses have recently been expanded to accurately assess Directed Energy weapons and sensor performance (probabilistic climatologies and performance forecasts) at any wavelength/frequency or spectral band in the absence of field test and employment data. The 4D Weather Cubes initialize the High Energy Laser End to End Operational Simulation (HELEEOS) propagation code, which provides a means to dynamically point the communication link. HELEEOS' calculation of irradiance at the detector as a function of transmission, optical turbulence, and noise sources such as path radiance was the basis for comparative percentile performance binning of FSO communication bit error rates as a function of wide-ranging azimuth/elevation, earth-to-space uplinks. The aggregated, comparative bit error rate binning analyses for different regions, times of day, and seasons using a full year of data provided numerous occasions of clouds, fogs, and precipitation events, thus demonstrating the relevance of 4D Weather Cubes for adroit management of CFLOS opportunities to enhance performa
机译:本研究提出了先前报道的4D天气甚级朝向创建高保真云的景观(CFLOS)光束传播的益处,以实现自动跟踪/动态路由自由空间光通信DataLink概念的现实评估。 4D天气多维数据集是高,计算密集型,国家海洋和大气管理(NOAA)网格数值天气预报(NWP)数据的高效加工产品,与云,雾和降水形成的嵌入物理关系相结合,以呈现高度现实的4D云自由线条视线分析环境。通过实施经过验证和验证的激光环境效应定义和参考(LEEDR)大气表征和辐射转移代码,通过实施光学效应和定制大气分辨率的天气立方体累积和定制大气分辨率。 4D天气多维数据集分析最近被扩展,以便在没有现场测试和就业数据的情况下准确评估任何波长/频率或光谱带的定向能量武器和传感器性能(概率气候和性能预测)。 4D天气立方体初始化高能激光端到结束操作仿真(HELEEOS)传播代码,其提供动态点的手段。 Heleeos在诸如路径辐射等传输,光学湍流和噪声源的函数的检测器处的​​辐照度的计算是FSO通信比特误差率的比较百分位数突出的基础,作为宽范围的方位角/高度,地球 - 空间上行链路。使用全年数据的不同地区,一天和季节的聚合,比较误码率分析分析,使用全年数据提供了云,雾和降水事件的许多情况,从而展示了4D天气多维数据集对CFLO的adroit管理的相关性加强绩效的机会

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