Chebychev moments based drone classification, recognition and fingerprinting

Clemente, Carmine and Pallotta, Luca and Ilioudis, Christos and Fioranelli, Francesco and Giunta, Gaetano and Farina, Alfonso (2021) Chebychev moments based drone classification, recognition and fingerprinting. In: International Radar Symposium, 2021-06-21 - 2022-06-22, Online.

Preview

Text. Filename: Clemente_etal_IRS_2021_Chebychev_moments_based_drone_classification_recognition_and_fingerprinting.pdf
Accepted Author Manuscript
Download (111kB)| Preview

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.

Share and Export

Item metadata

Item type:	Conference or Workshop Item(Paper)
ID code:	77935
Dates:	Date Event 22 June 2021 Published 26 February 2021 Accepted
Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
Department:	Faculty of Engineering > Electronic and Electrical Engineering Strategic Research Themes > Measurement Science and Enabling Technologies Strategic Research Themes > Ocean, Air and Space
Depositing user:	Pure Administrator
Date deposited:	29 Sep 2021 15:41
Last modified:	09 Apr 2024 06:54
Related URLs:	Event
URI:	https://strathprints.strath.ac.uk/id/eprint/77935

CORE (COnnecting REpositories)