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DroneDetect Dataset: A Radio Frequency dataset of Unmanned Aerial System (UAS) Signals for Machine Learning Detection Classification

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DataCite Commons2024-08-06 更新2025-04-16 收录
下载链接:
https://ieee-dataport.org/open-access/dronedetect-dataset-radio-frequency-dataset-unmanned-aerial-system-uas-signals-machine
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nbsp;The DroneDetect dataset consists of 7 different models of popular Unmanned Aerial Systems (UAS) including the new DJI Mavic 2 Air S, DJI Mavic Pro, DJI Mavic Pro 2, DJI Inspire 2, DJI Mavic Mini, DJI Phantom 4 and the Parrot Disco. Recordings were collected using a Nuand BladeRF SDR and using open source software GNURadio. There are 4 subsets of data included in this dataset, the UAS signals in the presence of Bluetooth interference, in the presence of Wi-Fi signals, in the presence of both and with no interference. 3 flight modes are captured - switched on, hovering and flying.

DroneDetect数据集包含7款主流无人航空系统(Unmanned Aerial Systems,UAS)型号,具体包括新型DJI Mavic 2 Air S、DJI Mavic Pro、DJI Mavic Pro 2、DJI Inspire 2、DJI Mavic Mini、DJI Phantom 4以及Parrot Disco。数据采集采用Nuand BladeRF软件定义无线电(Software Defined Radio,SDR)与开源软件GNURadio完成。本数据集共包含4个子集,分别对应存在蓝牙干扰、存在Wi-Fi信号、同时存在两类干扰以及无干扰场景下的UAS信号。本次采集覆盖3种飞行模式:开机、悬停与飞行状态。
提供机构:
IEEE DataPort
创建时间:
2021-06-12
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