SkyRadar Blog

Understanding radar signal processing is crucial for ATSEP qualification, military radar operations, and academic training in surveillance technologies. To support this, we’ve created a practical walk-through video showcasing FreeScopes' capabilities in live signal analysis and cleaning.

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.

This video compares the MTD algorithm and the Kalman filter. The use case is a moving target, in this particular case a person moving zig zag in front of SkyRadar's 8 GHz NextGen Pulse radar.

This video introduces into the MTI algorithm in SkySim - the technical radar simulator.

The following video shows the algorithms Moving Target Indication (MTI) , MTI with post processing, Moving Target Detection (MTD) as well as MTD with Doppler filter, applied on raw data of a 24 GHz FMCW.

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.

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 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.