In this letter, we investigate the ergodic capacity of unmanned aerial vehicle (UAV)-based free space optics (FSO) links over random foggy channel. More specifically, we derive composite probability density function (PDF) and close approximation for the moments of the composite PDF using the statistical model of a UAV-based 3D pointing error and a random foggy channel. With it, we obtain upper bound and asymptotic approximation of the ergodic capacity for the two possible detection techniques of intensity modulation/direct detection (IM/DD) and heterodyne detection at high and low signal-to-noise ratio (SNR) regimes. The numerical results confirm all the presented analytic results via computer-based Monte-Carlo simulations.

中文翻译：

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雾信道上基于无人机的 FSO 链路的遍历容量分析


在这封信中，我们研究了随机雾通道上基于无人机（UAV）的自由空间光学（FSO）链路的遍历能力。更具体地说，我们使用基于无人机的 3D 指向误差和随机雾通道的统计模型推导出复合概率密度函数 (PDF) 和复合 PDF 矩的近似值。有了它，我们获得了强度调制/直接检测（IM/DD）和外差检测这两种可能的检测技术在高和低信噪比（SNR）状态下的遍历能力的上限和渐近近似。数值结果证实了通过基于计算机的蒙特卡罗模拟提出的所有分析结果。