DroneRF dataset: A dataset of drones for RF-based detection, classification, and identification

DroneRF dataset: a radio frequency (RF) based dataset of drones functioning in different modes, including off, on and connected, hovering, flying, and video recording. The dataset contains recordings of RF activities, composed of 227 recorded segments collected from 3 different drones, as well as recordings of background RF activities with no drones. The data has been collected by RF receivers that intercepts the drone’s communications with the flight control module. The receivers are connected to two laptops, via PCIe cables, that runs a program responsible for fetching, processing and storing the sensed RF data in a database. The dataset can be used in drone detection, drone identification and drone tracking.

DroneRF 数据集：一款基于射频（Radio Frequency, RF）的无人机数据集，收录了处于不同工作模式下的无人机射频活动数据，涵盖关机、开机并连接、悬停、飞行及视频录制等模式。该数据集包含227段录制的射频活动片段，采集自3架不同的无人机，同时还包含无无人机存在时的背景射频活动录制数据。本数据集通过射频接收机截取无人机与飞行控制模块之间的通信信号完成采集，接收机通过PCIe线缆连接至两台笔记本电脑，运行用于获取、处理并将感知到的射频数据存储至数据库的程序。该数据集可应用于无人机检测、无人机识别以及无人机追踪相关任务。

搜集汇总

背景与挑战

背景概述

DroneRF数据集是一个基于射频（RF）的无人机数据集，专注于无人机检测、分类和识别应用。它包含227个记录段，覆盖3架无人机在不同操作模式（如关闭、悬停、飞行等）下的RF活动，以及无无人机背景记录，数据通过RF接收器收集，总大小为3.75 GB。该数据集由卡塔尔大学于2019年发布，适用于无人机RF信号分析和机器学习模型训练。