Wireless and Satellite Systems
Wireless and Satellite Systems
复制标题
无线和卫星系统
DOI：
10.1007/978-3-319-53850-1_17
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Ekerete K
中科院分区：
文献类型：
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作者：
Ekerete K
降水，特别是雨水，对毫米和亚毫米频率的影响比对地球-空间路径中较低频率的影响更为严重，因此，需要建立精确的模型，以便能够更好地预测雨滴大小分布，从而更好地进行规划和改进服务的提供。利用在Chilbolton天文台捕获的数据，本文着眼于使用高斯混合模型（GMM）建模的DSD，并试图预测特定的衰减，由于雨的基础上，这个模型和比较的结果与其他完善的统计模型（对数正态和伽马）。结果表明，特定的衰减倾向于增加与液滴的大小，和较小的液滴对信号所经历的总衰减的贡献很小。基于几种标准统计分布计算了比衰减，并与ITU建议的比衰减进行了比较。
Precipitation, particularly rain affects the millimetre and sub-millimetre frequencies more severely than it does for lower frequencies in the Earth-space path. There is therefore a need for accurate models that will enable the rainfall drop size distribution (DSD) to be better predicted for better planning and improved service delivery. Using data captured at Chilbolton Observatory, this paper looks at modelling the DSD using the Gaussian Mixture Model (GMM), and attempts to predict the specific attenuation due to rain based on this model and compares the result with other well-established statistical models (lognormal and gamma). Results show that specific attenuation tends to increase with the drop sizes, and the smaller drops contribute little to the overall attenuation experienced by signals. Specific attenuation was computed based on several standard statistical distributions, and compared with that derived from the ITU recommendation.
DOI：
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发表时间：
2014-11
期刊：
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影响因子：
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作者：
K. Price;R. Storn;J. Lampinen
通讯作者：
K. Price;R. Storn;J. Lampinen