论文标题

雷达互联网(IOR):无线电探测器和护林员

Internet of Radars (IoR): Internet of RAdio Detectors And Rangers

论文作者

Akan, Ozgur B., Arik, Muharrem

论文摘要

物联网(物联网)是通过传感器和执行器交换信息的互连设备。了解可见世界以外的环境的主要物理传感器之一是雷达。基本上,雷达一直是用于调查环境的军事工具。但是,随着发展技术的范围,雷达在建筑物,汽车,无人机甚至手表中的建筑物中变得更加紧凑且负担得起。在不久的将来,配备雷达的物联网平台将开始越来越多。对于每个物联网平台,使用传统方法时需要双重使用与双光圈的双光孔。对于雷达感测设备,雷达和通信电路的发射是能源消耗增加的主要原因。此外,随着拥挤的频谱,越来越多的雷达出现,雷达和通信系统之间的RF收敛更加可能出现。近年来,有许多研究建议使用一种发射/波形来感知环境并发送信息。它们通常被称为“关节雷达通信(JRC)”系统。由于JRC系统设计的最新开发,现在可以将雷达感测的物联网平台转换为“无线电检测器和游骑兵互联网(IOR)”。在本文中,我们介绍了有关JRC技术,可能的应用领域IOR应用程序以及挑战以及未来研究方向的简短调查,以实现IOR的概念。

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.

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