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PDF Estimation and Liquid Water Content Based Attenuation Modeling for Fog in Terrestrial FSO Links

机译:FSO链路中雾的PDF估计和基于液态水含量的衰减模型

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摘要

Terrestrial Free-space optical communication (FSO) links have yet to achieve a mass market success due to the ever elusive 99.999% availability requirement. The terrestrial FSO links are heavily affected by atmospheric fog. To design systems which can achieve high availability and reliability in the presence of fog, accurate and better models of fog attenuation need to be developed. The current article puts forth appropriate probability density function estimates for received signal strength (hereafter RSS) under fog conditions, where variations in the RSS during foggy events have been statistically characterized. Moreover, from the surface observations of fog density, liquid water content (hereafter LWC) of fog is estimated. The actual measured optical attenuations are then compared with the optical attenuations estimated from LWC. The results presented suggest that fog density measurements carried out are accurate representation of the fog intensity and the attenuation predictions obtained by the LWC estimate match the actual measured optical attenuations. This suggests that the LWC is a useful parameter besides visibility range to predict optical attenuations in the presence of hydrometeors.
机译:陆地上的自由空间光通信(FSO)链路由于难以捉摸的99.999%可用性要求而尚未在大众市场取得成功。地面FSO链路受到大气雾的严重影响。为了设计在有雾的情况下可以实现高可用性和可靠性的系统,需要开发出精确且更好的雾衰减模型。当前文章提出了雾条件下接收信号强度(以下简称RSS)的适当概率密度函数估计,其中雾事件期间RSS的变化已得到统计表征。此外,从雾密度的表面观察,估计雾的液态水含量(以下称为LWC)。然后将实际测得的光衰减与根据LWC估算的光衰减进行比较。提出的结果表明,进行的雾密度测量是雾强度的准确表示,并且通过LWC估计获得的衰减预测与实际测得的光学衰减相匹配。这表明,LWC除了能见度范围外还可以用来预测存在水凝物的光衰减。

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