GNSS RF Fingerprinting Dataset with Roof Antenna and Simulator Signals

GNSS signals collected via roof antennas and a Spectracom simulator for Radio-Frequency Fingerprinting research. The dataset offers six open-access scenarios for signal-type identification, with additional scenarios available on-demand. It is related to a paper authored by Rubén Morales Ferré of Tampere University.

Use Cases

• Training machine learning models for GNSS signal-type identification based on RF features.
• Developing Radio-Frequency Fingerprinting techniques for transmitter authentication.
• Benchmarking signal processing algorithms using real and simulated GNSS data.
• Studying the distinct RF characteristics of signals from different GNSS sources.

Strengths

• Includes signals from both real roof antennas and a controlled Spectracom simulator.
• Offers six distinct, openly accessible scenarios for testing.
• Associated with a published academic paper providing research context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description mentions additional scenarios are not included in the open-access upload.

Provenance

Source

Tampere University

Collection Method

Collected via roof antennas and a Spectracom GNSS signal simulator.