Cardinal RF (CardRF): An outdoor radio frequency signals from UAV, UAV remote controller, Bluetooth, WiFi devices for UAV or drone detection and identification system

This article presents the details of the Cardinal RF (CardRF) dataset. CardRF is acquired to foster research in RF- based UAV detection and identification or RF fingerprinting. RF signals were collected from UAV controllers, UAV, Bluetooth, and Wi-Fi devices. Signals are collected at both visual line-of-sight and beyond-line-of-sight. The assumptions and procedure for the data acquisition are presented. A detailed explanation of how the data can be utilized is discussed. CardRF is over 65 GB in storage memory.

本文详述了Cardinal RF（CardRF）数据集的相关细节。本数据集旨在推动基于射频(Radio Frequency, RF)的无人机(Unmanned Aerial Vehicle, UAV)检测、识别以及射频指纹识别领域的研究。射频信号采集自无人机控制器、无人机本体、蓝牙设备以及Wi-Fi设备，信号采集场景涵盖视距传输与非视距传输两种情形。本文同时阐述了数据采集的前提假设与具体实施流程，并详细说明了该数据集的使用方法与应用场景。CardRF数据集的存储容量超过65GB。

搜集汇总

背景与挑战

背景概述

Cardinal RF数据集是一个包含无人机(UAV)、无人机遥控器、蓝牙和WiFi设备射频信号的户外采集数据集，主要用于基于射频的无人机检测和识别研究。数据集超过65GB，包含.mat格式的射频信号，每个信号有500万个采样点，时间跨度为0.25ms，并提供了用于信号绘制的MATLAB脚本。