Searched for: author%3A%22Fioranelli%2C+F.%22
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Clemente, Carmine (author), Pallotta, Luca (author), Ilioudis, Christos (author), Fioranelli, F. (author), Giunta, Gaetano (author), Farina, Alfonso (author)
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...
conference paper 2021
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Pallotta, Luca (author), Cauli, Michela (author), Clemente, Carmine (author), Fioranelli, F. (author), Giunta, Gaetano (author), Farina, Alfonso (author)
In this paper a method capable of automatically classify radar signals of human hand-gestures exploiting the micro-Doppler signature is designed. In particular, the methodology focuses on the extraction of the Chebyshev moments from the cadence velocity diagram (CVD) of each recorded signal. The algorithm benefits from interesting properties of...
conference paper 2021