SkyRadar Blog

System-Wide Information Management harmonizes the exchange of Aeronautical, Flight and Weather information vital for air navigation with its stakeholders.

This article explains how rigorous and effective monitoring of ATC infrastructure helps detecting early warning signs of a problem.

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.

My colleague Volker recorded this short video of our NextGen Radars "singing" and "dancing" during release testing.