SkyRadar Blog

The following video explains in detail the 2 Dimensional CFAR.

NextGen implementation and application test by Ulisses Sodré de Almeida, Edasim, Brazil.

In this short video we visualize movements of a person in front of a training radar. We apply range FFT, source suppression, a threshold and a PPI. We also look at the movements in an A-Scope.

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 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.