Drone Remote Controller RF Signal Dataset

This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone RCs from eight different manufacturers and ~1000 RF signals per drone RC, each spanning a duration of 0.25 ms. The dataset is used to train machine learning and deep neural network models for the detection and classification of the drones/drone RCs.本数据集收录了不同品牌及型号的无人机遥控器（Remote Controller, RC）的射频（Radio Frequency, RF）信号。无人机遥控器用于与无人机通信的射频信号，由一套被动射频监测系统截获并记录，该系统包含高频示波器、定向栅格天线与低噪声功率放大器。数据采集过程中，受试无人机处于闲置状态。所有无人机遥控器均工作于2.4 GHz频段。本次数据集涵盖8家不同厂商的17款无人机遥控器，单款遥控器对应约1000条射频信号，每条信号时长为0.25毫秒。本数据集可用于训练机器学习与深度神经网络模型，以实现无人机/无人机遥控器的检测与分类任务。

搜集汇总

背景与挑战

背景概述

该数据集包含来自8个不同制造商的17个无人机遥控器的射频信号，所有信号均在2.4 GHz频段采集，每个遥控器约1000个信号，每个信号持续0.25毫秒。数据集主要用于无人机检测、分类和射频指纹识别研究，并提供了MATLAB脚本以支持数据处理和特征提取。