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Exploring the Basics: Radar Noise and Its Suppression in SkySim

Radar systems are highly sensitive to external signals, and while this sensitivity allows them to detect targets at great distances, it also makes them vulnerable to noise. Noise, in radar terminology, refers to unwanted signals that interfere with the radar's ability to detect legitimate targets. These unwanted signals can come from various sources, such as thermal emissions, electronic interference, and atmospheric conditions.

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What Makes SkyRadar’s Electronic Warfare Solution so Strong

Training in electronic warfare and radar technology has evolved significantly. For military academies and defense institutions, the ability to combine live radar systems, digital signal processing, and advanced countermeasure algorithms within a single, integrated environment is crucial. SkyRadar’s open and flexible training solutions offer just that, enabling a seamless blend of simulation and live experimentation. This approach not only provides a comprehensive pathway from basic training to advanced research but also supports concurrent learning, distance education, and the integration of emerging technologies like AI. This article explores how SkyRadar’s solutions are redefining defense training and education, providing the tools needed to prepare military personnel for the challenges of modern electronic warfare.

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Exploring the Electronic Warfare Extension of SkySim: Jamming and Disturbance Filtering

This article explores SkySim's Electronic Warfare extension, simulating radar jamming techniques and countermeasures with FreeScopes for advanced disturbance filtering and analysis.

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SkySim: A Comprehensive Radar Simulation Tool for Civil Applications

SkySim is a sophisticated radar simulator designed specifically for training and educational purposes. Unlike military-focused simulators, SkySim centers its capabilities around civil radar applications, including air traffic control (ATC) and various civilian surveillance tasks. SkySim allows users to explore the intricacies of radar technology in a controlled environment, making it a powerful tool for students, engineers, and researchers looking to understand and implement radar systems.

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AI in ATC Needs Centralized Data and SMC-Enabled Applications: Shaping a New ATSEP Profile

As air traffic control (ATC) systems evolve, the integration of artificial intelligence (AI) is becoming critical to improving efficiency, safety, and decision-making. However, for AI to work effectively in air traffic management (ATM), a centralized data infrastructure and Service Monitoring & Control (SMC)-enabled applications are necessary. These technologies are not just reshaping ATC systems, but they are also transforming the roles and responsibilities of Air Traffic Safety Electronics Personnel (ATSEP). This blog explores the foundational role of centralized data and service-based architectures, and how AI will shape the future of ATSEP in the context of AI-enhanced ATC systems.

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SkyRadar Training Solutions: Supporting ATSEP Qualification for EASA Easy Access Rules in SUR, COM, DPR, and SMC

SkyRadar offers advanced training solutions tailored to the needs of Air Traffic Safety Electronics Personnel (ATSEP), fully aligned with the European Union Aviation Safety Agency (EASA) Easy Access Rules for Air Traffic Management (ATM).

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FreeScopes Disturbance Filtering I: A Vital Tool for Military EW Training

As electronic warfare (EW) becomes increasingly central to modern defense strategies, military academies and training centers must equip their students with the skills to defend critical systems against sophisticated electronic attacks. SkyRadar’s FreeScopes ATC Disturbance Filtering and Analysis I is specifically designed to meet this need, offering an advanced suite of tools to detect and counter various forms of radar jamming and deception. This software extension is targeted at military training institutions focused on developing proficiency in electronic counter-countermeasures (ECCM) for air traffic control (ATC) systems.

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Building the Future of ATM: Cloud Architecture, Centralized Data, and Cybersecurity as the Foundation for AI Integration

As global air traffic continues to increase, the complexity of managing airspace grows more challenging. To address these complexities, Air Traffic Control (ATC) systems are turning to emerging technologies such as Artificial Intelligence (AI), cloud computing, and cybersecurity to maintain safety and efficiency. Integrating these technologies is not just an opportunity—it is a necessity. This article provides an introduction to how AI, supported by robust cloud architecture and underpinned by strong cybersecurity measures, can transform ATC into a more scalable and secure system while ensuring compliance with data privacy regulations.

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Investigating Snort Logs in Incident Response

The cyber security industry is filled with many great options for intrusion detection and prevention solutions for your perimeter. However, there are only a small number of tried-and-true platforms that have become ubiquitous and used as a foundation for other newer platforms. One of the most prominent open-source solutions is Snort. With Snort installed in the environment at the perimeter, a security team can not only forensically see what took place on the network, but also see how it happened. For the purpose of this article, we are going to focus on Snort for intrusion detection analysis. We will be walking through common scenarios that the incident response team will have to investigate from time to time.

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