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A Realtime Micro-Doppler Detection, Tracking and Classification System for the 94 GHz FMCW Radar System DUSIM

: Petervari, René; Giovanneschi, Fabio; Johannes, Winfried; González-Huici, María

Institute of Electrical and Electronics Engineers -IEEE-; Institution of Engineering and Technology -IET-:
16th European Radar Conference, EuRAD 2019 : 29 September-4 October 2019, Paris
Piscataway, NJ: IEEE, 2019
ISBN: 978-2-87487-057-6
ISBN: 978-2-87487-054-5
ISBN: 978-1-7281-3733-9
European Radar Conference (EuRAD) <16, 2019, Paris>
European Microwave Week (EuMW) <2019, Paris>
Conference Paper
Fraunhofer FHR ()

In the field of non-cooperative target classification micro-Doppler signatures provide valuable information on a diverse set of targets. In the recent years numerous applications were proposed in areas like road safety or infrastructure protection. However, real-world environments are often challenging and put high demands on hardware and software likewise. Often, time, memory or the signal-to-clutter ratio turn out to be critical factors. In consideration of these circumstances a computationally efficient and memory saving detection, tracking and classification system for real-world FMCW radar data is proposed and verified experimentally.