FreeScopes Disturbance Filtering & Analysis I - Teaching

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.

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

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.

SkyRadar offers comprehensive Radar Laboratories designed specifically for Radar Officers and Maintenance Personnel. This article presents a straightforward modular configuration to get started.

The Doppler Phase Shift Enhanced Disturbance Filter (EDF) is an advanced radar signal processing system designed to effectively handle jammed radar data. It utilizes sophisticated algorithms to distinguish genuine radar reflections from jamming signals, thereby enhancing the radar's ability to accurately detect and track targets even in hostile environments.

The Enhanced Kalman Disturbance Filter is a feature developed by SkyRadar. It is part of its training radar system, designed to detect and handle range deception data using the Kalman Filter and the most recent RGPO detection features. This block includes several sub-functions, each serving a specific purpose in the processing of incoming radar reflections to identify and manage potential range deceived targets.

This article introduces an enhanced radar filter designed for training, with features for detecting range deception, incorporating moving target detection and target association for improved accuracy.

In this article we show a video on RGPO-counter-measures enhanced by an MIT and by a Cluttermap in a comparison. We conducted the RGPO with SkySim and the Electronic Warfare extension. The electronic counter-countermeasures are part of the FreeScopes Library.

The RGPO Detection Block is an essential component of a radar system designed to detect and handle range deception data.

Range Deception is a relevant approach used by aircraft and drones to deceive the supervising radars. 

Explore the intricacies of Range Deception in Electronic Warfare—a tactic used by aircraft and drones to mislead enemy radars. Learn how altering radar signal timings can affect an adversary's ability to accurately locate and target. Understand the strategic implications and countermeasures in this evolving field.

To detect and remove/suppress the fake targets (range deceived targets) we implemented an algorithm for reflection power tracking. This algorithm consists of a search window of 5 samples and a tracking algorithm which tracks the return of reflected power within the sliding window (read the introductory article for reflection power tracking)

This article introduces a "reflection power tracking", a statistical method to neutralize range deception. It shows a training implementation in FreeScopes.

Drones and military aircraft try to hide their real positions through deception jamming. The following videos show successful detection with pulse compression and alternatively pulse Doppler, and subsequent detection algorithms.

In this video we show how a sequence of defense algorithms can defeat a range deception attack.

This video describes how deception jammers lock on radars and then drag them away from the real target.

SkyRadar's FreeScopes module "Disturbance Filtering & Analysis I" provides two algorithms for barrage jamming detection.