Leveraging Worldwide, Publicly-available Data to Create an Automated Satnav Interference Detection System
Document Type
Conference Proceeding
Publication Date
1-2021
Abstract
This paper documents the architecture and implementation of an interference detection database system with user configurable interference detection algorithms. The system leverages a publicly-available, pre-existing network of worldwide Global Navigation Satellite System (GNSS) receivers to detect and localize interference. Each component of the detection system is built using free and open-source software (FOSS) and is packaged as a software virtualized container for easy scalability and inherent modularity. This paper explores many of the constraints and design decisions that come with utilizing publicly-available data for a large-scale analysis. Two algorithms are explored that operate using only the data readily available from public sources. Each algorithm is evaluated against known interference events derived from the same publicly-available data. The performance of each algorithm is discussed before outlining the first implementation of a near-real time automated analysis system. Finally, the efficacy of the final product is demonstrated by retrieving the latest data from GNSS receiver sites and displaying the analysis results in near real-time. Three real detections made by the system are documented before discussing future work and outlining possible uses for such a system.
Source Publication
ION 2021 International Technical Meeting Proceedings
Recommended Citation
Stader, John, Gunawardena, Sanjeev, "Leveraging Worldwide, Publicly-Available Data to Create an Automated Satnav Interference Detection System," Proceedings of the 2021 International Technical Meeting of The Institute of Navigation, January 2021, pp. 69-83. https://doi.org/10.33012/2021.17826
Comments
Copyright statement: © 2021 ION 2021 International Technical Meeting Proceedings.
The full text of the conference paper is hosted at the ION website for ION members. It is also accessible at cost to non-members. A DOI link is provided on this page for the reader to investigate access options at ION.
This research is part of an ongoing effort supported by the Air Force Research Lab and the Autonomy & Navigation Technology (ANT) Center of the Air Force Institute of Technology (AFIT).