GNSS干扰和伪造数据集数据集
Xiaoyan Wang1, Jingjing Yang1, Ming Huang1
1School of Information Science and Engineering, Yunnan University, Kunming 650091, China.
Data in brief
|July 4, 2024
概括
研究人员发布了一套新的数据集,其中包含受欺骗和干扰影响的全球导航卫星系统 (GNSS) 信号. 这些数据对于开发先进的GNSS反伪造和反干扰技术至关重要.
科学领域:
- 导航和定位 导航和定位
- 信号处理 信号处理
- 网络安全 网络安全
背景情况:
- 全球导航卫星系统 (GNSS) 信号对于关键基础设施至关重要,但易受伪造和干扰的影响.
- 缺乏全面的数据集阻碍了开发强大的GNSS防伪和防干扰技术.
- 现有的研究受到现实世界的干扰数据稀缺性的限制.
研究的目的:
- 展示全球导航卫星系统 (GNSS) 信号的新型数据集,这些信号受到伪造和干扰.
- 为科学界提供一个有价值的资源,专注于GNSS安全.
- 促进对GNSS反伪造和反干扰机制的研究.
主要方法:
- 在云南大学部署了一套低成本的传感器套件,包括GNSS天线和接收器.
- 使用软件定义无线电 (SDR) HackRF One 和商用干扰器,人工引入了伪造和干扰干扰.
- 数据被收集和处理,包括原始接收器输出和衍生信号参数.
主要成果:
- 该数据集包括来自多个GNSS系统 (GPS,指南针,利略,GLONASS,QZSS) 的原始和处理数据.
- 原始数据包括硬件信息,卫星细节和接收器参数.
- 处理的数据包括信号特征,多普勒转移,伪色,载体相位和位置信息.
结论:
- 这一数据集为研究GNSS漏洞提供了一个独特的资源.
- 它将支持GNSS安全,防干扰和防伪技术的发展.
- 这些数据对于旨在提高导航系统弹性研究人员来说至关重要.
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