17 Dec 2021
| 17 Dec 2021
Dynamic Eigenimage Based Background and Clutter Suppression for Ultra Short-Range Radar
Matthias G. Ehrnsperger
CORRESPONDING AUTHOR
Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany
Maximilian Noll
Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany
Stefan Punzet
Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany
Uwe Siart
Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany
Thomas F. Eibert
Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany
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Short summary
In the paper we describe how the detection of living objects, such as people and animals, can be significantly improved. It is particularly important to detect people in dangerous environments to protect them. For such a detection task we use a radar system. Radar, because the detection also has to work at night and if it rains or snows, these are the situations when other systems, i.e. cameras, fail. Our experiments showed that many radar applications can benefit from our approach.
In the paper we describe how the detection of living objects, such as people and animals, can be...
