Architecture and operational results of feature based automatic radar target classification

Feature based automatic radar target classification, is a new method for classifying several types of targets based on the doppler spectrum and cepstrum, e.g. drones. This paper gives an overview over the architecture of the implemented algorithm within X-Band high-doppler resolution radar units and results concerning classification probability and ranges in different scenarios and environmental conditions.