SkyRadar Blog

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 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.

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.