SkyRadar Blog

The following video visualizes the Doppler frequencies of a person approaching and moving away from the radar source. We apply Fast Fourier Transform.

The 24 GHz Radar allows us to do play in the frequency band of 5G. In the following video we apply the Moving Target Indication Algorithm, with and without post-processing.

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.

SkyRadar produces integrative FireFIghting Trainers, including Hardware and 3D simulation (which can run independently). Our clients appreciated this, and we were motivated to expand the range of simulation scenarios, including the the oil and gas segment.

This video explains how noise and reflections of a radar source are suppressed in general. It also shows how this can be easily implemented and visualized with SkyRadar's Digital Signal Processing environment FreeScopes.

In this video we show, compare and discuss  the implementations of several algorithms to detect or indicate moving targets. The signals are detected with SkyRadar's NextGen 8 GHz Training radar and visualized with the FreeScopes Environment.

SkyRadar's FreeScopes Basic I includes the Moving Target Algorithm. In this video, we compared the radar image of pure unfiltered I/Q raw data and data after treatment through an MTI block and a subsequent static threshold.

The Standing Person Recognition Algorithm – SPRA provides the capability to detect reflections coming from a standing target (person), which exists in a stationary environment.  It is included in SkyRadar's FreeScope ATC I.

SkyRadar has released a new version of its airport rescue and firefighting solution. This article features videos and gives an executive overview.