SkyRadar Blog

This video illustrates how to monitor moving targets through various alternative algorithms. It provides an easy to follow introduction into the setup of a radar block diagram and its scopes (A-Scope, PPI) using previously recorded IQ data.

We prerecorded a person's movements in front of the NextGen Radar. In replay mode, we show step-by-step how to clean the signal.

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.

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.

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.

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.