Tuni2025 Datasets for GNSS - Galileo Spoofing
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https://zenodo.org/doi/10.5281/zenodo.17233253
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Tuni2025 Datasets for GNSS - Galileo Spoofing
Selected Scenarios are a curated subset of high-resolution GNSS spoofing measurement data recorded in a controlled laboratory environment at Tampere University, Finland. The dataset supports research in spoofing detection, RF signal analysis, and GNSS receiver security.
Each scenario contains:
A raw I/Q measurement file (approx. 30 GB, interleaved 32-bit float format)
A scenario-specific README file documenting signal setup, spoofing conditions, and usage notes
This release includes 8 Galileo E1 signal scenarios, covering both spoofed and authentic (clear-sky) cases, true spoofer position attacks, and varying numbers of spoofers. The data was collected using a USRP-2945R software-defined radio front-end at 50 MSps sampling rate, with spoofing signals generated using a Spectracom GSG-6 GNSS simulator where applicable.
📁 Included Scenarios
C-1 Galileo Static No Multipath True Position – Clear-sky (no spoofers) - Version-v1SS-1 Galileo Static No Multipath True Position – 1 Spoofer - Version-v2SS-3 Galileo Static No Multipath True Position – 3 Spoofers - Version-v3SS-5 Galileo Static No Multipath True Position – 5 Spoofers - Version-v11C-3 Galileo Static No Multipath True Position – Clear-sky (no spoofers) - Version-v13SS-11 Galileo Static Multipath True Position – 1 Spoofer - Version-v7SS-12 Galileo Static Multipath True Position – 2 Spoofers - Version-v8SS-13 Galileo Static Multipath True Position – 4 Spoofers - Version-v9
🔬 Intended Use
This dataset is intended for use in:
GNSS spoofing detection research and algorithm development
RF fingerprinting and signal classification
GNSS receiver performance benchmarking
Machine learning and statistical analysis of spoofed GNSS signals
🛰️ Signal Type
Galileo E1 only
🛠️ Equipment Used
USRP-2945R software-defined radio front-end
Spectracom GSG-6 GNSS signal simulator (used in spoofing scenarios only)
📂 File Format
.bin: Raw I/Q measurement (interleaved 32-bit float)
.pdf: Scenario-specific README file
📚 Citation
If using this dataset, please cite this:
🔄 Additional Data
Other scenarios and dataset extensions (e.g., multipath, dynamic spoofing, false position) may be provided upon request by the authors.
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Zenodo创建时间:
2025-10-01



