SkyRadar Blog

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.

In air traffic control, managing radar clutter is essential for ensuring both safety and operational efficiency. This article provides an in-depth look at the use of clutter maps and clutter-map-subtraction techniques, which are employed to filter out stationary and irrelevant objects from radar displays. By focusing on these advanced filtering methods, the article aims to shed light on how radar systems are optimized to allow air traffic controllers to concentrate on tracking moving aircraft.

This article dives into the critical role of zero-velocity filters in air traffic control, highlighting how they improve radar accuracy by eliminating stationary objects from the radar display. A video shows an implementation with SkyRadar FreeScopes.

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.

Explore Doppler filtering in radar imaging using SkyRadar's FreeScopes ATC II and SkySim. See how it refines target identification and reduces false alarms.

SkyRadar introduces an advanced object tracking methodology featuring both the linear Kalman filter and the interacting multiple model (iMM) filter. While the linear Kalman filter primarily focuses on longitudinal object positioning, the iMM algorithm expands capabilities to include lateral positioning, enhancing tracking robustness.

Welcome back to our blog series on electronic warfare! In this sequel, we will explore the challenges and considerations associated with electronic warfare in an increasingly interconnected world. It is essential to approach electronic warfare as a tool of the military, with the primary focus on defense and peacekeeping efforts. As technology advances, responsible and ethical use of electronic warfare becomes paramount in maintaining global security while upholding principles of peace and stability.