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.

The Moving Target Detection is a highly reliable algorithm for detection of moving targets and temporarily non-moving targets in the constant presence of clutter. It is implemented in SkyRadar's ATC I Module.

The Moving Target Indication algorithm provides the capability to detect reflections coming from targets in motion with respect to a standing background environment, such as ground, walls, parked cars, and so on. 

Moving Target Indication (MTI) and Moving Target Detection (MTD) are important for removing clutter from the radar image. But how do they work and what is the difference. And how to apply them in FreeScopes?