三维动态云场建模研究FSO卫星通信系统的性能

Alef Comisso, L. Luini
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引用次数: 0

摘要

随着卫星通信系统对数据速率的要求不断提高,使用更高频率的载波成为一种趋势。虽然自由空间光通信可以满足这些需求,但它们受到影响地面站的天气条件的严重限制。因此,对这些现象进行建模以预测链路中断的可能性非常重要,以便可以应用适当的衰减缓解技术。本贡献旨在扩展文献中的一个模型(云的随机模型),以包括云场的时间变异性。利用卫星观测研究了时间演变,并通过按时间顺序输入ERA5数据引入模型,该数据已线性插值到时间分辨率为1分钟。然后,利用新模型研究了站点多样性对运行在$1.55 \mu \ mathm {m}$的GEO-Earth光链路上的云衰减减缓的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling 3D Dynamic Cloud Fields to Investigate the Performance of FSO SatCom Systems
With increasing data rate requirements on SatCom systems there is a push to use higher frequency carriers. Although free space optical communications would meet these demands, they are severely limited by the weather conditions affecting the ground stations. Therefore, it is important to model these phenomena to predict the possibility of link outages so that an appropriate fade mitigation technique can be applied. This contribution aims to extend a model in the literature (Stochastic Model of Clouds) to include the time variability of the cloud field. The temporal evolution is studied using satellite observations and is introduced into the model by inputting ERA5 data chronologically, which has been linearly interpolated to a temporal resolution of 1 minute. The new model is then used to study the effect of site diversity for the mitigation of cloud attenuation on a GEO-Earth optical link operating at $1.55 \mu \mathrm{m}$.
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