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Peter Green

Peter Green is an internationally active manager in Air Traffic Control. He looks back at a technical career in the fields of ATC and also has been in charge of ATCO and ATSEP qualification for many years.

Detecting Hypersonic Glide Vehicles: Challenges and Emerging Solutions

Hypersonic glide vehicles evade radars. Learn how multispectral sensing, AI, and SkyRadar’s stealth extensions prepare defense for this evolving threat.

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Stealth Drone Swarms: The Emerging Threat Radar Must Learn to See

Stealth was once the privilege of state-of-the-art fighter jets and high-altitude reconnaissance aircraft. Today, the same principles of radar evasion are being applied to far smaller, more numerous, and more agile platforms: drones. But what makes these platforms especially dangerous is not their individual sophistication—it’s their collective behavior.

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Pulse Compression with the NextGen Pulse Radar

One of the most powerful techniques in modern radar is pulse compression. It allows radar engineers to achieve high range resolution without the need for high peak transmission power. While this concept is often introduced in theory, SkyRadar brings it to life—visibly and interactively—with the NextGen Pulse Radar and FreeScopes.

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Future Trends in Radar Technology and How SkySim Prepares You

Radar technology continues to evolve, with significant advancements being made in areas such as artificial intelligence (AI), quantum radar, and autonomous systems. As these new technologies emerge, radar operators and engineers must be prepared to understand and work with next-generation systems. SkySim offers a forward-looking training platform that equips users with the skills they need to stay ahead of these technological trends.

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Teaching Radar Systems in University Programs: How SkySim Fits into Modern Education

University programs focused on radar systems, electrical engineering, or aviation require modern tools to provide students with the hands-on experience needed to understand complex radar concepts. SkySim offers an interactive platform that can be easily integrated into university courses, allowing students to experiment with real-world radar scenarios and gain a deeper understanding of radar technology.

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Future-Proofing Air Traffic Control with AI: How FreeScopes Ensures Operational Excellence

Air traffic control (ATC) is the backbone of modern aviation, ensuring safety, efficiency, and seamless coordination in increasingly crowded skies. As AI reshapes the landscape of radar systems, ATC academies must adapt their training programs to prepare Air Traffic Safety Electronics Personnel (ATSEP) for the challenges and opportunities ahead. The FreeScopes Environment offers a comprehensive AI training solution designed to future-proof ATC operations.

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Building Resilient Defense Capabilities: AI Training for Military Radar Systems

In today’s rapidly evolving threat landscape, the ability to counter electronic warfare and ensure accurate radar operations is paramount for military forces. AI-driven radar systems offer a transformative edge in detecting, classifying, and localizing targets, even under conditions of severe interference. The FreeScopes Environment provides military academies with the tools to train radar officers in these advanced technologies, ensuring readiness for modern defense challenges.

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SkyRadar & Artificial Intelligence (Part 5) - Spot Jamming DetectionNet Deployment in the FreeScopes Environment

In this article, we will explore the deployment of the Spot Jamming DetectionNet into the FreeScopes Environment, showcasing its ability to detect targets and determine their exact positions under challenging jamming conditions.

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Radar & Artificial Intelligence (Part 4) - Spot Jamming DetectionNet in FreeScopes Platform (Video)

In this article we will delve into the architecture, features, and training process of the Spot Jamming DetectionNet developed for the FreeScopes environment. This specialized model is designed to detect spot jamming in radar systems and accurately localize targets, even under challenging conditions of intentional interference.

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