JammerTest 2024 Case Study
About the Event
JammerTest 2024, held from September 9th to 13th in Andøya, Norway, is an annual event recognized as one of the largest open testing platforms for PNT/GNSS resilience in the world.
Participants from both the public and private sectors are exposed to a wide range of spoofing and jamming attacks, from the simple to the highly sophisticated, aimed at assessing the robustness of PNT systems against both unintentional and intentional interference.
The remote Arctic location was strategically chosen to minimize disruptions to civil society while facilitating high-power signal transmissions in a controlled environment.
Our Invitation
We invite you to review this comprehensive test report from JammerTest 2024, where GPSPatron’s solutions achieved:
100% Interference Detection Rate: Successfully identifying all spoofing and jamming scenarios, ensuring unparalleled protection for critical infrastructure.
Rapid Detection Latency: A median response time of 0 seconds and an average latency of 0.6 seconds, facilitating immediate interference identification.
98.3% Classification Accuracy: Accurately distinguishing between spoofing and jamming types in 59 out of 60 tests, demonstrating high precision in complex scenarios.
Efficient GNSS Signal Recovery: Consistent re-acquisition of GNSS signals within 1.5 minutes, with expected recovery under 45 seconds in optimal conditions.
We are confident that these advanced technologies can significantly enhance the security and resilience of your systems.
About GPSPatron
GPSPatron is a dedicated engineering company that prioritise transparency and data-driven results over generic marketing claims. They believe in setting the benchmark in testing and reporting for GNSS interference detection and classification systems.
The attached report is therefore comprehensive, focused on engineering specifics, and grounded in concrete data and precise metrics.
In particular, the report highlights their system’s performance in terms of spoofing detection speed and classification accuracy.
They take pride in being fully transparent, openly sharing detailed results without hesitation, so that you can confidently evaluate the facts and draw your own conclusions.