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GNSS interference and spoofing dataset.

Xiaoyan Wang1, Jingjing Yang1, Ming Huang1

  • 1School of Information Science and Engineering, Yunnan University, Kunming 650091, China.

Data in Brief
|July 4, 2024
PubMed
Summary
This summary is machine-generated.

Researchers have released a new dataset containing Global Navigation Satellite System (GNSS) signals affected by spoofing and jamming. This data is crucial for developing advanced GNSS anti-spoofing and anti-interference technologies.

Keywords:
GNSSInterference and spoofingRadio monitoringSignal processing

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Area of Science:

  • Navigation and Positioning
  • Signal Processing
  • Cybersecurity

Background:

  • Global Navigation Satellite System (GNSS) signals are essential for critical infrastructure but vulnerable to spoofing and jamming.
  • A lack of comprehensive datasets hinders the development of robust GNSS anti-spoofing and anti-interference techniques.
  • Existing research is limited by the scarcity of real-world interference data.

Purpose of the Study:

  • To present a novel dataset of Global Navigation Satellite System (GNSS) signals subjected to spoofing and jamming.
  • To provide a valuable resource for the scientific community focused on GNSS security.
  • To facilitate research into GNSS anti-spoofing and anti-interference mechanisms.

Main Methods:

  • A low-cost sensor suite, including a GNSS antenna and receiver, was deployed at Yunnan University.
  • Spoofing and jamming interferences were artificially introduced using a Software-Defined Radio (SDR) HackRF One and a commercial jammer.
  • Data was collected and processed, encompassing raw receiver outputs and derived signal parameters.

Main Results:

  • The dataset includes raw and processed data from multiple GNSS systems (GPS, Compass, Galileo, GLONASS, QZSS).
  • Raw data comprises hardware information, satellite details, and receiver parameters.
  • Processed data includes signal characteristics, Doppler shift, pseudorange, carrier phase, and positional information.

Conclusions:

  • The presented dataset offers a unique resource for studying GNSS vulnerabilities.
  • It will support the advancement of GNSS security, anti-jamming, and anti-spoofing technologies.
  • This data is vital for researchers aiming to enhance the resilience of navigation systems.