SkyRadar Blog

How does a radar see an aircraft? In this live 8 GHz experiment, SkyRadar demonstrates radar signatures, RCS measurements and iSAR imaging.

Watch SkyRadar demonstrate Range Gate Pull-Off with a real radar and active jammer. Explore physical range deception and its role in practical ECCM training.

How does a digital signal become a measurable electromagnetic transmission? And what happens when noise, filtering, antennas and propagation change its behaviour? FreeScopes Basic III and IV connect these questions in a hands-on engineering laboratory.

Deception jamming does not simply hide a radar target in noise. It tries to make the radar believe something that is not true. Practical ECCM training therefore needs to show trainees how deception appears in radar data — and how it can be recognised.

Modern ATSEP training connects real CNS hardware, radar, simulation and system monitoring so trainees can learn by measuring, processing and troubleshooting.

SkyRadar’s Active Target brings real RF range deception and RGPO into the lab, connecting physical radar measurements with hands-on ECCM analysis.

Electronic-warfare education becomes more useful when the trainee can follow the complete chain: from a real radar measurement, through a controlled deceptive effect, to ECCM analysis and finally to the question of whether an AI model can recognise and interpret a disturbed radar scene.

As defence organisations prepare for Eurosatory 2026, one of the central questions is how modern forces can train for electronic warfare environments that are becoming faster, denser, and more adaptive.

Artificial intelligence is often explained with abstract examples: cats and dogs, handwritten digits, or large public image datasets. These examples are useful, but they do not show how AI can be taught in a technical radar environment. In this short video, we demonstrate how FreeScopes AI turns real radar measurements into a practical machine-learning exercise: students collect and label data from three radar targets, train a neural network, and use it to classify the measured objects.