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三维无人机定位在动态无人机到车通信中的应用。

Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications.

机构信息

Department of Electronics ICT - IDLab, Universiteit Antwerpen - imec, 2000 Antwerp, Belgium.

Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain.

出版信息

Sensors (Basel). 2020 Jan 8;20(2):356. doi: 10.3390/s20020356.

Abstract

In areas with limited infrastructure, Unmanned Aerial Vehicles (UAVs) can come in handy as relays for car-to-car communications. Since UAVs are able to fully explore a three-dimensional environment while flying, communications that involve them can be affected by the irregularity of the terrains, that in turn can cause path loss by acting as obstacles. Accounting for this phenomenon, we propose a UAV positioning technique that relies on optimization algorithms to improve the support for vehicular communications. Simulation results show that the best position of the UAV can be timely determined considering the dynamic movement of the cars. Our technique takes into account the current flight altitude, the position of the cars on the ground, and the existing flight restrictions.

摘要

在基础设施有限的地区,无人机 (UAV) 可以作为车对车通信的中继器。由于无人机在飞行时能够完全探索三维环境,因此涉及它们的通信可能会受到地形不规则性的影响,这反过来又会通过充当障碍物而导致路径损耗。考虑到这种现象,我们提出了一种基于优化算法的无人机定位技术,以提高对车辆通信的支持。仿真结果表明,考虑到汽车的动态运动,可以及时确定无人机的最佳位置。我们的技术考虑了当前的飞行高度、地面上汽车的位置以及现有的飞行限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0638/7014200/53690f5f670a/sensors-20-00356-g001.jpg

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