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.

We took this video spontaneously in our developers' lounge. Small room, lots of static objects including furniture, plants, decoration and walls close to the radar.

We are often asked how the classroom should be designed so that students can measure in an undisturbed way. The answer is: The worse the better.

A good radar operator can handle any clutter. The video shows it.

The radar in this video operates with 5 rpm, the typical rotation of a radar tower. With our training radar we can vary rotation from 0 to 10 rpm. 

Look how I disappear when I am not moving. That is a typical challenge of the MTI, it just tracks moving targets. In our articles on the Moving Target Detection algorithm MTD, you see how this problem is solved. 


The Moving Target Indication Process is implemented in FreeScopes Basic I. A second enhanced MTI including post-processing is implemented in FreeScopes ATC I. 

MTI has several technical limits. As discussed above it misses moving targets when they stand still. Therefore many modern radars implement the Moving Target Detection process, which is also part of FreeScopes ATC I. Read more about MTD in the article: The Enhanced Moving Target Detection in Radar Technology.

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