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GNSS Interference Spectrum Controlled Low-Frequency
- Citation Author(s):
- Submitted by:
- Felix Ott
- Last updated:
- Wed, 11/13/2024 - 04:41
- DOI:
- 10.21227/4mmc-aq03
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Abstract
Jamming devices present a significant threat by disrupting signals from the global navigation satellite system (GNSS), compromising the robustness of accurate positioning. The detection of anomalies within frequency snapshots is crucial to counteract these interferences effectively. A critical preliminary measure involves the reliable classification of interferences and characterization and localization of jamming devices. We introduce an extensive dataset compromising snapshots obtained from a low-frequency antenna, capturing diverse generated interferences within a large-scale environment including controlled multipath effects. Our objective is to assess the resilience of ML models against environmental changes, such as multipath effects, variations in interference attributes, such as the interference class, bandwidth, and signal-to-noise ratio, the accuracy jamming device localization, and the constraints imposed by snapshot input lengths. We demonstrate the adaptness of our model in generalizing across diverse facets, thus establishing its suitability for real-world applications.
Introduction
We publish the DARCY Controlled Low-Frequency dataset that was recorded in a controlled indoor large-scale environment with a low-frequency antenna. The recording was done in the large-scale industrial Fraunhofer IIS L.I.N.K. test and application center. The dataset contains a variety of interference classes in GNSS signals.
Dataset
The repository contains the dataset with the corresponding labels in the folder info in .txt files) for the train-test split. The dataset contains two different datasets recorded similarly. The dataset1 was recorded with different multipath scenarios, while dataset2 contains a larger variety of different signal-to-noise ratios in a clear environment.
License
This work is licensed under a CC BY-NC-SA 4.0: Creative Commons Attribution-Noncommercial-ShareAlike, see https://creativecommons.org/licenses/by-nc-sa/4.0/
Further Datasets & Methods
For more information on the dataset, links to other datasets, and our methodologies, visit the following Gitlab page: https://gitlab.cc-asp.fraunhofer.de/darcy_gnss
Dataset Files
- Dataset1 dataset1.zip (5.35 GB)
- Dataset2 dataset2.zip (11.93 GB)
- README file readme.zip (2.04 kB)
Comments
For an alternative download possibility, see the following Gitlab website:
https://gitlab.cc-asp.fraunhofer.de/darcy_gnss/controlled_low_frequency