← All projects

TEMPEST

Protects UAV communications from jamming by fusing spectrum measurements, RF fingerprinting and terrain data to reroute flights in real time.

Lead researcher
Boris Galkin
Institution
Tyndall National Institute
TEMPEST

About the project

TEMPEST enhances the security and reliability of UAV (Unmanned Aerial Vehicle) communications in high-priority missions by mitigating potential electronic signaling threats. UAVs are vulnerable to malicious jamming attacks that can disrupt their wireless links, compromising mission performance and safety.

TEMPEST developed a software suite that integrates machine learning, signal processing, and trajectory optimisation to detect, locate, and avoid jamming sources in real-time. The system fuses radio spectrum measurements, RF fingerprinting, and environmental topology to allow UAVs to adapt their flight paths dynamically while maintaining mission objectives.

The key objectives for Tempest are:

1.Detecting and classifying jamming signals
2.Locating jamming sources and estimating the position of jammers accurately.
3.Optimising UAV flight paths and generating radio maps of jamming zones.

Last updated: 25 September 2026

Project team

Boris Galkin

Lead researcher
Tyndall National Institute

Ready to start collaborating?

Let's discuss how The ARC Hub for ICT can help accelerate your digital transformation initiatives and bring your innovative ideas to life.