论文标题
基于SDR的无人机云辅助ADS-B网络
A cloud-assisted ADS-B network for UAVs based on SDR
论文作者
论文摘要
正如全球许多倡议所证明的那样，无人驾驶飞机（UAV）或“无人机”纳入民航领域是增加对航空社区兴趣的问题。许多针对载人飞机的传统监视解决方案采用自动依赖的系统播放（ADS-B）技术，但是当用于无人机，尤其是较小的型号和/或以非常低的海拔飞行的较小的飞机时，可能会出现几个缺点。我们在本文中提出了针对无人机的基于云的监视解决方案，该解决方案可以被视为增强常规ADS-B系统。提议的解决方案利用便宜的机载收发器将位置消息从无人机传输到地面。基于软件定义的无线电（SDR）范式的ADS-B网关网络，将位置消息格式化为有效的ADS-B信号，并在空中进行重新播放，从而允许其模仿真正的ADS-B系统并克服常规实施的主要缺点。基于排队理论的拟议方法的初步性能分析表明了所考虑方法的主要权衡。此外，基于现成的SDR硬件提出了建议解决方案的物理层实验室实施，该硬件是使用开源GNU无线电环境对其进行编程的。
Integration of Unmanned Aerial Vehicles (UAVs) or "drones" into the civil aviation airspace is a problem of increasing interest in the aviation community, as testified by many initiatives developed worldwide. Many traditional surveillance solutions for manned aircrafts employ the Automatic Dependent System-Broadcast (ADS-B) technology, which however might present several drawbacks when used for UAVs, especially smaller ones and/or those flying at very low altitudes. We present in this paper a cloud-based surveillance solution for UAVs, which can be considered as an enhancement of a conventional ADS-B system. The proposed solution leverages inexpensive on-board transceivers for transmitting positional messages from the UAVs to the ground. A network of ADS-B gateways, based on the software-defined radio (SDR) paradigm, format the positional messages into valid ADS-B signals and rebroadcast them in the air, allowing thus to emulate a true ADS-B system and overcoming the main disadvantages of the conventional implementation. A preliminary performance analysis of the proposed approach, based on queuing theory, shows the main tradeoffs of the considered approach. Moreover, a physical-layer laboratory implementation of the proposed solution is presented, based on off-the-shelf SDR hardware, which is programmed using the open-source GNU Radio environment.
