This paper introduces the use of a Chebychev moments' based feature for micro-Doppler based Classification, Recognition and Fingerprinting of Drones. This specific feature has been selected for its low computational cost and orthogonality property. The capability of the proposed feature extraction framework is assessed at three different levels of major classification steps, namely classification, recognition and fingerprinting, demonstrating the effectiveness of the proposed approach to discriminate drones from birds, fixed wings from multi-rotors and drones carrying different payloads on real measured radar data.

Clemente, C., Pallotta, L., Ilioudis, C., Fioranelli, F., Giunta, G., & Farina, A. (2021). Chebychev moments based Drone Classification, Recognition and Fingerprinting. In Proceedings International Radar Symposium (pp.1-6). 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE Computer Society [10.23919/IRS51887.2021.9466211].

Chebychev moments based Drone Classification, Recognition and Fingerprinting

Pallotta L.;Giunta G.;
2021

Abstract

This paper introduces the use of a Chebychev moments' based feature for micro-Doppler based Classification, Recognition and Fingerprinting of Drones. This specific feature has been selected for its low computational cost and orthogonality property. The capability of the proposed feature extraction framework is assessed at three different levels of major classification steps, namely classification, recognition and fingerprinting, demonstrating the effectiveness of the proposed approach to discriminate drones from birds, fixed wings from multi-rotors and drones carrying different payloads on real measured radar data.
978-3-944976-31-0
Clemente, C., Pallotta, L., Ilioudis, C., Fioranelli, F., Giunta, G., & Farina, A. (2021). Chebychev moments based Drone Classification, Recognition and Fingerprinting. In Proceedings International Radar Symposium (pp.1-6). 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE Computer Society [10.23919/IRS51887.2021.9466211].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/392830
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