GNSS Interference Spectrum Controlled Low-Frequency

Citation Author(s):
Lucas
Heublein
Fraunhofer Institute for Integrated Circuits IIS
Tobias
Feigl
Fraunhofer Institute for Integrated Circuits IIS
Thorsten
Nowak
Diehl Defence GmbH \& Co. KG
Alexander
Rügamer
Fraunhofer Institute for Integrated Circuits IIS
Felix
Ott
Fraunhofer Institute for Integrated Circuits IIS
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.

Instructions: 

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

 

Funding Agency: 
This work has been carried out within the DARCII project, funding code 50NA2401, supported by the German Federal Ministry for Economic Affairs and Climate Action (BMWK), managed by the German Space Agency at DLR.
Grant Number: 
50NA2401

Comments

For an alternative download possibility, see the following Gitlab website:

https://gitlab.cc-asp.fraunhofer.de/darcy_gnss/controlled_low_frequency

 

Submitted by Felix Ott on Tue, 11/12/2024 - 06:06