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

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.