Cardinal RF (CardRF): An Outdoor UAV/UAS RF Signals with Bluetooth and WiFi Signals Dataset

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。该数据集的构建旨在推动基于射频（RF）的无人机（UAV）检测、识别及射频指纹识别相关研究。本次采集的信号来源涵盖无人机控制器、无人机、蓝牙（Bluetooth）设备与Wi-Fi设备，采集场景同时覆盖视距传输与非视距传输两种模式。本文同时阐述了该数据集采集的前提假设与具体流程，并对其具体使用方式进行了详细阐释。CardRF数据集的总存储容量超过65GB。

搜集汇总

背景与挑战

背景概述

Cardinal RF数据集是一个专注于户外无人机射频信号的数据集，旨在支持基于射频的无人机检测、识别和指纹识别研究。该数据集包含来自无人机控制器、无人机、蓝牙和WiFi设备的射频信号，采集于视距和非视距条件，存储容量超过65 GB，信号以.mat格式提供，每个信号有500万个采样点。数据集已用于多篇学术论文，并附带处理脚本，适用于人工智能、信号处理和机器学习等领域的研究。