JammerTest 2025 acquisition campaign: Real-life testing of our GNSS anti-jamming solutions

Arkane participated, alongside CNES, in JammerTest 2025, a unique campaign dedicated to the evaluation of GNSS solutions against intentional interference.

Organized in Andøya, Norway, these tests allowed our team to test its antenna electronics and CRPA anti-jamming treatments under different interference scenarios, in order to demonstrate their robustness and effectiveness in real conditions. 

These campaigns are also a valuable source of real acquisition data, used for training and continuous improvement of embedded AI models, thus enhancing the performance of adaptive treatments in disturbed environments. 

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Real-life tests for Arkane at the Jammer Test 2025 in Andøya

GNSS technologies, such as GPS or Galileo, are essential for location and timing applications, but are particularly sensitive to jamming and interference. In order to ensure reliable navigation and operation without the risk of signal loss, Arkane develops space-time algorithms that nullify these sources of interference in order to recover robust GNSS signals. By integrating Deep Learning-type adaptive AI solvers, Arkane strengthens the ability of its processes to self-adjust in the face of increasingly complex interference, thus ensuring stable and secure navigation.

In the middle of a test campaign, we are validating and evaluating our anti-jamming and anti-luring solution. We thus push our solution to its limits, evaluating its performance against various levels of JSR and multiple sources of interference. These full-scale tests allow us to test the robustness and effectiveness of our technology in real conditions.

Accompanied by our historical partner CNES, Joan Gomes and Stéphane Oriol, we meet up with our partners from the JRC ISPRA European Commission and the European Space Agency – ESA to face fog and jammers!  

Focus on the anti-jamming solutions developed by Arkane

ARKANE solutions respond to new interference threats by optimizing adaptive space-time processing through the integration of artificial intelligence software components. Lighter in embedded resources and more efficient, they provide enhanced protection of GNSS signals and increased resilience for critical systems subject to strong operational constraints. 

Designed to operate in dynamic environments with high acceleration, these solutions are now applied to autonomous navigation and autonomous launcher backup, where the continuity of GNSS guidance is essential, while responding to the increasingly present and sophisticated interference threats in the space, drone, and maritime domains.

Balance sheet and results of the JammerTest 2025?

This campaign allowed an initial evaluation of the performance of our existing anti-jamming solutions in real conditions, through a wide variety of scenarios: different waveforms (spoofing, meaconing, broadband jamming and complex mixtures), low to high power jammers, multi-transmitter configurations to test the performance of CRPA systems, as well as dynamic tests with onboard drone jammers.

It also constitutes a valuable database for the continuous improvement of our treatments, the calibration of our simulators and the training of our machine learning models.

Finally, it was an opportunity to strengthen our network in the field of anti-interference and GNSS acquisition, and to prepare for future test campaigns