Extremely-Low Frequency (ELF) Radio Sensing of Unmanned Aerial Systems
Extremely-Low Frequency (ELF) Radio Sensing of Unmanned Aerial Systems
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DOI：
10.23919/usnc-ursinrsm57467.2022.9881474
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发表时间：
2022-01
期刊：
影响因子：
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通讯作者：
A. Madanayake;Hiruni Drauphadhi De Silva;J. Glickstein;S. Mandal
中科院分区：
文献类型：
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作者：
A. Madanayake;Hiruni Drauphadhi De Silva;J. Glickstein;S. Mandal
本文介绍了基于RF的无人机系统（UAS）的检测，而不使用发射信号。所提出的方案使用一个敏感的磁强计和数字信号处理算法，使强大的检测高扭矩/重量比稀土磁铁为基础的电动机，使技术在电动无人机。初步实验结果与1 $\mathbf{m}^{2}$接收线圈显示可靠的检测一个小型无人机在几米的距离。
This paper describes RF-based detection of un-manned aerial systems (UAS) without using transmit signals. The proposed scheme uses a sensitive magnetometer and digital signal processing algorithm to enable robust detection of high-torque/weig$h$t ratio rare earth magnet-based electric motors that are the enabling technology in electrical UAS. Preliminary experimental results with a 1 $\mathbf{m}^{2}$ receive coil show reliable detection of a small UAS at distances of several meters.