SkyRadar Blog

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.

FreeScopes "Record, Replay & Livestream" Module allows to transfer live (livestream) or recorded data to MATLAB or any other numeric computing environment.

In this video we show how FreeScopes can track and differentiate multiple targets, plot the history dots and indicate direction and speed with a speed vector.

To detect and remove/suppress the fake targets (range decepted 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.

Four videos provide a deep insight into SkyRadar's SMC infrastructure and exercises for ATSEP qualification in compliance with EASA's Easy Access Rules for Air Traffic Management.

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.

In this video we visualize the movement of a Fidget Spinner (hand-held toy) with the 8 GHz Pulse Radar, a Fast Fourier Transformation and a Heatmap in FreeScopes