Radar Micro-Doppler classification of Mini-UAVs
The radar micro-Doppler signature of a target depends on its micro-motion, i.e., the motion of parts of a target relative to the motion of the target as a whole. These micro-motions are very characteristic considering different target classes, e.g., the slow pendulum-like motion of a bird’s wings versus the rapidly rotating propellers of a small fixed wing aircraft. Consequently, the micro-Doppler signature seems very suited to classify different types of targets. In this study, it is investigated whether micro-Doppler features can be exploited to discriminate birds and small unmanned aerial vehicles (UAVs) in radar measurements. The focus is on features that can be extracted from spectrograms and cepstrograms and that enable a classifier to make a quick distinction between man-made objects (mini-UAVs) and bio-life. Additionally, in case of a man-made object, it is desired to further characterize the type of mini-UAV to aid the threat assessment, for example, the actual number of rotors of a rotary-wing UAV may be an indication of its maximum payload. Also this characterization is done on the basis of micro-Doppler features extracted from spectrograms and cepstrograms.
Observation, Weapon & Protection Systems
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RT - Radar Technology
TS - Technical Sciences
Defence, Safety and Security
NATO STO Specialists Meeting SET-228 Radar Imaging for target identification, 19-20 october 2015 Pisa, Italy