Abstract:
With the decrease in the cost and size of drones in recent years, their number has also increased exponentially. As such, the concerns regarding security aspects that are raised by their presence are also becoming more serious. The necessity of designing and implementing systems that are able to detect and provide defense actions against such threats has become apparent. In this paper, we perform a survey regarding the different drone detection and defense systems that were proposed in the literature, based on different types of methods (i.e., radio frequency (RF), acoustical, optical, radar, etc.), with an emphasis on RF-based systems implemented using software-defined radio (SDR) platforms. We have followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines in order to provide a concise and thorough presentation of the current status of the subject. In the final part, we also describe our own solution that was designed and implemented in the framework of the DronEnd research project. The DronEnd system is based on RF methods and uses SDR platforms as the main hardware elements.
摘要:
随着近年来无人机成本和体积的下降,他们的数量也呈指数增长。因此,他们的存在引起的对安全方面的担忧也变得越来越严重。设计和实现能够检测和提供针对这种威胁的防御动作的系统的必要性已经变得明显。在本文中,我们对文献中提出的不同无人机探测和防御系统进行了调查,基于不同类型的方法(即,射频(RF),声学,光学,雷达,等。),重点是使用软件定义无线电(SDR)平台实现的基于RF的系统。我们遵循了系统评价和荟萃分析(PRISMA)指南的首选报告项目,以提供该主题当前状态的简明和透彻的介绍。在最后一部分,我们还描述了我们自己的解决方案,该解决方案是在DronEnd研究项目的框架中设计和实施的。DronEnd系统基于RF方法,并使用SDR平台作为主要硬件元素。