advanced-menu-icon

From Digital Signals to Electromagnetic Waves: Making Signal Processing and RF Engineering Tangible

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.

Read the blog

How Do You Detect Deception Jamming? From RGPO to AGPO and VGPO in the Radar Lab

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.

Read the blog

From CNS Signals to System Competence: Building a Hands-On ATSEP Qualification Laboratory

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

Read the blog

From Echo Amplification to RGPO: Why Modern Radar Training Needs an Active Target

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

Read the blog

From a Real Radar Echo to AI: Building a Hands-On Electronic Warfare Learning Chain

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.

Read the blog

Digital Twins, Radar Simulation and the Training Layer Behind Cognitive EW

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.

Read the blog

Teaching AI with Radar Data: Classifying Objects with FreeScopes AI

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.

Read the blog

Explainable AI in Radar and Electronic Warfare Training

Artificial intelligence is becoming increasingly relevant in radar, electronic warfare, and spectrum analysis. Machine learning methods can support pattern recognition, anomaly detection, signal classification, and decision support in complex electromagnetic environments.

Read the blog

Why ECCM Training Matters in Contested Electromagnetic

Radar resilience is no longer defined only by hardware performance. In modern defence environments, the more important question is how well a radar system, its processing chain, and its operators can respond when the electromagnetic environment changes.

Read the blog