Cardinal RF (CardRF): An Outdoor UAV/UAS RF Signals with Bluetooth and WiFi Signals Dataset
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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.
本文详细介绍了Cardinal RF(CardRF)数据集的完整细节。该数据集专为推动基于射频(RF)的无人机(UAV)检测、识别及射频指纹识别领域的研究而构建。数据集采集的射频信号来源包括无人机控制器、无人机本体、蓝牙(Bluetooth)设备与Wi-Fi设备,且采集场景同时覆盖直视视距与超视距两种链路环境。本文同时阐述了该数据集采集过程中所遵循的前提假设与具体流程,并详细说明了该数据集的具体应用方式。该数据集的存储空间超过65 GB。
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IEEE DataPort创建时间:
2022-07-16
搜集汇总
数据集介绍

背景与挑战
背景概述
Cardinal RF (CardRF)数据集是一个用于无人机射频检测和识别研究的户外射频信号数据集,包含来自无人机控制器、无人机、蓝牙和WiFi设备的信号,采集于视距和非视距条件,存储容量超过65 GB。该数据集旨在支持射频指纹技术研究,提供丰富的信号样本以提升无人机检测的准确性。
以上内容由遇见数据集搜集并总结生成



