SkyRadar Blog

This video show several blocks in the digital signal processing chain that allow to enhance the visibility and tracking of moving targets. We show CFAR, Moving Targete Detection with Doppler Filtering, a Heatmap and the I and Q signals.

Within minutes we can replace the 8 GHz Pulse unit on top of the radar box with a a 24 GHz FMCW radar. We can analyze the FMCW with FreeScopes. Here is how it works.

In 2021, SkyRadar introduced the NextGen Training Radar Suite. It featured the 8 GHz Pulse radar. Now several extensions are available like a pseudo-noise radar (PSR), or the FMCW. This concept turns the NextGen into a platform, allowing to add virtually any radar, sonar or sensor.

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

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.

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.