GNSS Dataset (with Interference and Spoofing) Part IV

GNSS Dataset (with Interference and Spoofing) Part X

GNSS Dataset (with Interference and Spoofing) consists of three parts:
Part I (Raw data of 2023 12 to 20, Sept, 2023, clean data),
Part II (Raw data of 2023 21 to 30, Sept, 2023, clean data) and
Part III (Processed data 12 to 30, Sept, 2023; data collected with spoofing and jamming on 21 Dec, 2023; Scripts and Material) .
Part IV (Supplementary Raw data and Processed data, 15 to 24, March, 2024).
Part V (Supplementary Raw data and Processed data, 24 to 30, March, 2024).

Part I, II, and III are provided in detail by the paper entitled "GNSS Interference and Spoofing Dataset" in Elsevier, and IV and V use the same collection method supplemented with more spoofing data.

The data were recorded by a GNSS receiver installed on the 5th floor of the Science Hall of Yunnan University. HackRF One emits spoofing signals and the commercial jammer emits suppression jamming to attack the receiver. The provided datasets are interesting for the GNSS monitoring, GNSS security, anti-jamming and anti-spoofing mechanisms based scientific communities.

These data provide the most comprehensive information available on the spatial and temporal patterns of GNSS satellites, observation and receiver parameters, referring to five constellations (GPS, Campass, Galileo, GLONASS and QZSS) and eight signal bands (L1C/A, L2C, E1, E5b, B1, B2, L1, L2). The dataset provides observations of the receiver three scenarios: normal state, affected by commercial jammers, and spoofed by SDR HackRF One. These observations include more details such as carrier-to-noise density ratio (C/N0), signal spectrum, Doppler shift, pseudorange, carrier phase, satellite health indicator, real-time position data and dilution of precision (DOP), etc. These data can be used to analyze navigation satellite operation rules, satellite covering time above the receiver, satellite overhead time prediction and GNSS monitoring system construction, provides a large amount of fine-grained data that can be used as an example to study safeguards at civil aviation airports, monitoring for harmful radio interference.

带干扰与欺骗的全球导航卫星系统（GNSS）数据集 第X部分

本带干扰与欺骗的全球导航卫星系统（GNSS）数据集共包含五个部分：
第一部分：2023年9月12日至20日的原始干净数据；
第二部分：2023年9月21日至30日的原始干净数据；
第三部分：2023年9月12日至30日的处理后数据、2023年12月21日采用欺骗与干扰手段采集的数据，以及配套脚本与辅助材料；
第四部分：2024年3月15日至24日的补充原始数据与处理后数据；
第五部分：2024年3月24日至30日的补充原始数据与处理后数据。

第一、二、三部分的详细信息已在爱思唯尔（Elsevier）旗下题为"GNSS Interference and Spoofing Dataset"的论文中公开，第四、五部分采用相同的采集方法，并补充了更多欺骗类数据。

本数据集由安装于云南大学科学馆5楼的GNSS接收机采集得到。实验中使用HackRF One发射欺骗信号，商用干扰机发射压制式干扰，对该接收机实施攻击。本数据集面向GNSS监测、GNSS安全、抗干扰与抗欺骗机制研究相关科研群体。

本数据集涵盖了五大卫星星座（GPS、Campass、Galileo、GLONASS与QZSS）以及八个信号频段（L1C/A、L2C、E1、E5b、B1、B2、L1、L2）的GNSS卫星时空分布特征、观测参数与接收机参数的全面信息。数据集提供了接收机在三种场景下的观测数据：正常工作状态、受商用干扰机影响状态，以及被软件定义无线电（SDR）设备HackRF One欺骗的状态。这些观测数据包含多项精细细节，如载波噪声功率密度比（C/N0）、信号频谱、多普勒频移、伪距、载波相位、卫星健康状态指标、实时位置数据以及精度衰减因子（DOP）等。

本数据集可用于分析导航卫星运行规律、接收机视场中的卫星覆盖时长、卫星过境时间预测以及GNSS监测系统构建等研究方向，同时提供了大量细粒度数据，可作为民航机场无线电防护、有害无线电干扰监测等领域的研究示例数据集。