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

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）机型，具体包括新款大疆（DJI）Mavic 2 Air S、大疆Mavic Pro、大疆Mavic Pro 2、大疆Inspire 2、大疆Mavic Mini、大疆Phantom 4以及派诺特（Parrot）Disco。信号采集采用Nuand BladeRF软件定义无线电（Software Defined Radio, SDR）与开源软件GNURadio完成。该数据集共设4类数据子集，分别对应蓝牙干扰场景、Wi-Fi信号干扰场景、同时存在两类干扰场景以及无干扰场景下的无人航空系统信号。本次采集覆盖3种飞行模式：开机状态、悬停状态与飞行状态。

搜集汇总

背景与挑战

背景概述

DroneDetect数据集是一个专注于无人机射频信号的数据集，旨在支持机器学习检测与分类任务。该数据集包含7种流行无人机型号的信号，在蓝牙、Wi-Fi干扰或无干扰条件下采集，并覆盖开机、悬停和飞行三种模式。数据以原始IQ格式提供，具有明确的采样参数，适用于人工智能和信号处理研究。