SkyRadar Blog

This article describes the challenges of down-times in Air Traffic Control.

Apart of the linear Kalman filter, SkyRadar also presents an implementation of the interacting multiple model (iMM) filter for object tracking.

One of the most powerful statistical estimation techniques, which is widely applied in navigation, radar tracking, satellite orbit determination, autonomous driving, and many other fields is the Kalman filter. This digital filter provides a quite accurate estimation of the next state (position, movement, temperature, etc.) from any possible noisy input signal, in real time, which makes it very suitable for radar navigation and tracking purposes.

The following video shows the algorithms Moving Target Indication (MTI) , MTI with post processing, Moving Target Detection (MTD) as well as MTD with Doppler filter, applied on raw data of a 24 GHz FMCW.

This article introduces SkyRadar's Monitoring Training System for ATSEP. It trains ATSEP on rapidly locating errors or points of system degradation, on rapidly fixing them and keeping downtimes short.

This article sheds light on the potential roles of Artificial Intelligence in improving Cybersecurity in times of data-driven and digitalized Air Traffic Management.

This webinar has a close look at proactive and reactive security in Air Traffic Control. It introduces into main threats, cybersecurity technology, monitoring and response processes, as well as strategies of buildin Cyber-Security Incident Response Teams.

The Spectrogram looks at the received power from the targets. It represents the first one-dimensional Fourier transform and is given in a logarithmic scale. The received power spectrum allows to detect moving targets.

In this video, we give an introduction into I and Q Signals in the context of digital signal processing. We handle and visualize them in FreeScopes Basic I.