论文标题

调制基于逆转录逆转录器的自由空间光学链接,用于无人机通信

Modulating Retroreflector Based Free Space Optical Link for UAV-to-Ground Communications

论文作者

Dabiri, Mohammad Taghi, Rezaee, Mohsen, Mohammadi, Leila, Javaherian, Farhang, Yazdanian, Vahid, Hasna, Mazen Omar, Uysal, Murat

论文摘要

减肥和低功耗是下一代无人机(UAV)网络的关键要求。采用调制重新反射器(MRR)的自由空间光学(FSO)技术是无人机通信的创新技术,以减少无人机的有效负载重量和功耗,从而导致可操作性增加和无人机的飞行时间。在本文中,我们考虑了一个基于MRR的FSO系统,用于实现无人机通信。我们将证明所考虑的系统的性能非常敏感跟踪错误。因此,为了评估基于MRR的UAV部署在FSO通信中的好处,基于MRR的UAV FSO通道的特征是考虑到跟踪系统错误以及无人机的方向波动,链路长度,无人机的高度,光束束发散角度,MRR的有效面积,大气涡轮驱动性和双pass频道的光学通道损失。为了实现有效的性能分析,在端到端信号比率,噪声比率,中断概率以及在弱和中度到中度的大气湍流条件下,端到端信号比率,中断概率和比特错误率的概率密度函数得出的概率密度函数。通过广泛的模拟验证了分析表达式的准确性。然后,分析结果用于研究最佳系统设计与跟踪系统误差之间的关系。

Weight reduction and low power consumption are key requirements in the next generation of unmanned aerial vehicle (UAV) networks. Employing modulating retro-reflector (MRR)-based free space optical (FSO) technology is an innovative technique for UAV-to-ground communication in order to reduce the payload weight and power consumption of UAVs which leads to increased maneuverability and flight time of UAV. In this paper, we consider an MRR-based FSO system for UAV-to-ground communication. We will show that the performance of the considered system is very sensitive to tracking errors. Therefore, to assess the benefits of MRR-based UAV deployment for FSO communications, the MRR-based UAV FSO channel is characterized by taking into account tracking system errors along with UAV's orientation fluctuations, link length, UAV's height, optical beam divergence angle, effective area of MRR, atmospheric turbulence and optical channel loss in the double-pass channels. To enable effective performance analysis, tractable and closed-form expressions are derived for probability density function of end-to-end signal to noise ratio, outage probability and bit error rate of the considered system under both weak-to-moderate and moderate-to-strong atmospheric turbulence conditions. The accuracy of the analytical expressions is verified by extensive simulations. Analytical results are then used to study the relationship between the optimal system design and tracking system errors.

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