Data-Driven Analysis of PNT Resilience: Insights and Lessons from Jammertest 2024 Vehicular Data

Jaakko Yliaho, Petri Välisuo, Elham Ahmadi, Kannan Selvan, Mahmoud Elsanhoury, and Heidi Kuusniemi

Peer Reviewed

Abstract:	Interference in Global Navigation Satellite Systems (GNSS), and the related mitigation approaches, has long been a researched topic. However, the need to test equipment, algorithms and necessary sensor fusion under real interference has been very much needed, but the opportunities to do so have been available only for a chosen few. In the recent few years, Norwegian authorities have provided a week-long GNSS interference testing opportunity to the GNSS community. Jammertest is open for research institutions, commercial actors, military and other authorities. The organizers provide a totally unique event without a participation fee, and they encourage to openly publish and disseminate the results. This paper documents the experiments done during Jammertest 2024, describes the dataset collected, provides some insight into the research done with the collected data and finally promises to openly publish the collected dataset for others to use. The dataset contains mostly interference data collected while in motion. The test equipment used was mounted in and on a test vehicle. Index Terms—GNSS interference, jamming, spoofing, Jammertest, experimental data, vehicular navigation, sensor fusion
Published in:	2025 IEEE/ION Position, Location and Navigation Symposium (PLANS) April 28 - 1, 2025 Salt Lake Marriott Downtown at City Creek Salt Lake City, UT
Pages:	398 - 403
Cite this article:	Yliaho, Jaakko, Välisuo, Petri, Ahmadi, Elham, Selvan, Kannan, Elsanhoury, Mahmoud, Kuusniemi, Heidi, "Data-Driven Analysis of PNT Resilience: Insights and Lessons from Jammertest 2024 Vehicular Data," 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS), Salt Lake City, UT, April 2025, pp. 398-403.
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