SkyRadar Blog

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.

Understanding radar signal processing is crucial for ATSEP qualification, military radar operations, and academic training in surveillance technologies. To support this, we’ve created a practical walk-through video showcasing FreeScopes' capabilities in live signal analysis and cleaning.

SkyRadar's FreeScopes platform offers a range of distinctive advantages and unique characteristics that make it an ideal choice for educational institutions and training programs focused on radar technology and signal processing.

This brief video outlines FreeScopes ATC I and ATC II within a broader framework. It demonstrates how the algorithms enhance ATSEP skills, building upon the foundations established by FreeScopes Basic I and II.

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.

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.

This video illustrates how to monitor moving targets through various alternative algorithms. It provides an easy to follow introduction into the setup of a radar block diagram and its scopes (A-Scope, PPI) using previously recorded IQ data.