In the coming years, low aerial space will be crowded with unmanned aerial vehicles (UAVs) providing various services. In this context, an emerging problem is to detect and track unauthorized or malicious mini/microUAVs. In contrast to current solutions mainly based on fixed terrestrial radars, this tutorial puts forth the idea of a dynamic radar network (DRN) composed of UAVs able to smartly adapt their formation and navigation strategy to best track malicious UAVs in real time with high accuracy and in a distributed fashion. To this end, the main methods for target detection and tracking are described, and an optimized navigation scheme according to an information-seeking approach is developed. Further, some examples of simulation results and future directions of work are presented, highlighting the advantages of dynamic and reconfigurable networks over static ones.

中文翻译：

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无人机的动态雷达网络：教程概述以及与地面雷达网络的跟踪性能比较

在未来几年，低空空间将挤满提供各种服务的无人驾驶飞行器 (UAV)。在这种情况下，一个新出现的问题是检测和跟踪未经授权或恶意的微型/微型无人机。与目前主要基于固定地面雷达的解决方案相比，本教程提出了由无人机组成的动态雷达网络 (DRN) 的想法，能够巧妙地调整其编队和导航策略，以最佳方式实时、高精度地跟踪恶意无人机。以分布式方式。为此，描述了目标检测和跟踪的主要方法，并根据信息搜索方法开发了优化的导航方案。此外，还介绍了一些模拟结果和未来工作方向的例子，