雷达互联网（IoR）：无线电探测器和巡守员互联网
Internet of Radars (IoR): Internet of RAdio Detectors And Rangers
摘要：
物联网（IoT）是用于通过传感器和致动器交换信息的互连设备。了解可见世界以外环境的主要物理传感器之一是雷达。基本上，雷达一直是一种用于调查环境的军事工具。然而，随着技术的发展，雷达变得更加紧凑，可以在建筑物，汽车，无人机甚至手表中使用。在不久的将来，配备雷达的物联网平台将开始越来越多地出现。对于每个物联网平台，在使用传统方法时，需要使用双孔径的频谱进行感知和通信。对于雷达传感物联网设备，雷达和通信电路的发射是能耗增加的主要原因。此外，越来越多的雷达作为拥挤的频谱出现，并且雷达和通信系统之间的RF会聚变得更可能出现。近年来，已经有许多研究提出使用一个发射/波形来感知环境和发送信息。它们通常被称为“联合雷达通信（JRC）”系统。由于JRC系统设计的最新发展，雷达传感物联网平台现在可以转变为“无线电探测器和漫游者互联网（IoR）”。在这篇文章中，我们提出了一个简短的调查JRC技术，可能的应用领域IoR应用和挑战，以及未来的研究方向，使IoR的概念。
英文摘要：
The Internet of Things (IoT) are interconnected devices for exchanging information through sensors and actuators. One of the main physical sensors to understand the environment beyond the visible world is a radar. Basically, radars have always been a military tool to be used to investigate the environment. However, with the developing technology, radars have become more compact and affordable to use in a building, in a car, in a drone or even in a wristwatch. In the near future, radar-equipped IoT platforms will start to appear increasingly. For each IoT platform, dual use of spectrum with dual aperture is required for sensing and communicating when using conventional approaches. For the radar sensing IoT devices, the emission from the radar and communication circuitry is the main reason of the increase in energy consumption. Furthermore, an increasing number of radars emerges as congested spectrum, and RF convergence between radars and communication systems becomes more likely to present itself. Recent years, there have been numerous researches which propose using the one emission/waveform for perceiving the environment and sending information. They are often called as "Joint Radar-Communication (JRC)" systems. Due to the latest developments in JRC system designs, radar sensing IoT platforms now can be transformed into an "Internet of RAdio Detectors And Rangers (IoR)". In this article, we present a short survey on JRC technologies, possible application areas IoR applications and challenges and future research directions for enabling the concept of IoR.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
