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.

[thumbnail of Clemente-etal-IRS-2021-Chebychev-moments-based-drone-classification-recognition-and-fingerprinting]
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.

    ORCID iDs

    Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Pallotta, Luca, Ilioudis, Christos ORCID logoORCID: https://orcid.org/0000-0002-7164-6461, Fioranelli, Francesco, Giunta, Gaetano and Farina, Alfonso;