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High-speed Communications Enabling Real-time Video for Battlefield Commanders Using Tracked FSO

机译:高速通信支持使用跟踪FSO的战场指挥官的实时视频

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Free Space Optics (FSO) technology is currently in use to solve the last-mile problem in telecommunication systems by offering higher bandwidth than wired or wireless connections when optical fiber is not available. Incorporating mobility into FSO technology can contribute to growth in its utility. Tracking and alignment are two big challenges for mobile FSO communications. In this paper, we present a theoretical approach for mobile FSO networks between Unmanned Aerial Vehicles (UAVs), manned aerial vehicles, and ground vehicles. We introduce tracking algorithms for achieving Line of Sight (LOS) connectivity and present analytical results. Two scenarios are studied in this paper: 1 -An unmanned aerial surveillance vehicle, the Global Hawk, with a stationary ground vehicle, an Ml Abrams Main Battle Tank, and 2 - a manned aerial surveillance vehicle, the E-3A Airborne Warning and Control System (AWACS), with an unmanned combat aerial vehicle, the Joint Unmanned Combat Air System (J-UCAS). After initial vehicle locations have been coordinated, the tracking algorithm will steer the gimbals to maintain connectivity between the two vehicles and allow high-speed communications to occur. Using this algorithm, data, voice, and video can be sent via the FSO connection from one vehicle to the other vehicle.
机译:自由空间光学(FSO)技术目前正在用于通过提供比有线或无线连接更高的带宽来解决电信系统中的最后一英里问题,当不可用的光纤时。将流动性纳入FSO技术可以有助于其实用程序的增长。跟踪和对准是移动FSO通信的两个大挑战。在本文中,我们为无人驾驶飞行器(无人机),载人航空车辆和地面车辆之间的移动FSO网络提供了一种理论方法。我们介绍了实现视线(LOS)连接线和目前的分析结果的跟踪算法。本文研究了两种情况:1-判有无人机监控车辆,全球鹰,带固定地面车辆,ML ABRAMS主战斗箱,2 - 载人空中监控车,E-3A空中警告和控制系统(AWACS),带有无人的作战空中车辆,联合无人战斗空气系统(J-UCAS)。在协调初始车辆位置之后,跟踪算法将转向万向节以维持两个车辆之间的连接并允许发生高速通信。使用该算法,数据,语音和视频可以通过从一个车辆到另一个车辆的FSO连接发送。

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