Title
Classification of Small UAVs and Birds by Micro-Doppler Signatures
Author
Molchanov, P.
Egiazarian, K.
Astola, J.
Harmanny, R.I.A.
de Wit, J.J.M.
Publication year
2013
Abstract
The problem of unmanned aerial vehicles classification using continuous wave radar is considered in this paper. Classification features are extracted from micro-Doppler signature. Before the classification, the micro-Doppler signature is filtered and aligned to compensate the Doppler shift caused by the target’s body motion. Eigenpairs extracted from the correlation matrix of the signature are used as informative features for classification. The proposed approach is verified on real radar measurements collected with 9.5 GHz radar. Planes, quadrocopter, helicopters and stationary rotors as well as birds are considered for classification. Moreover, a possibility of distinguishing different number of rotors is considered. The obtained results show the effectiveness of the proposed approach. It provides capability of correct classification with a probability of around 95%.
Subject
UAV
Birds
Small size targets
Classifying
Radar
Doppler
Defence Research
Defence, Safety and Security
Physics & Electronics
RT - Radar Technology
TS - Technical Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:9b5912e3-4e5f-4396-90fc-808a95aa01f8
TNO identifier
479984
Publisher
EuMA, Louvain-la-Neuve
Source
European Microwave Week EuMW 2013, Proceedings 10th European Radar Conference EuRAD 2013, 9 - 11 October 2013, Nuremberg, Germany, 172-175
Document type
conference paper