Activity recognition based on sensing the reflected signals will enable novel services in next generation wireless networks. This paper proposes an approach to achieve high-accuracy activity recognition in complex wireless environments using time-frequency analysis of radar Doppler signatures. The proposed approach is validated via experimentation employing a multiple-input–multiple-output radar at millimeter waves.

Activity Recognition from Doppler Signatures via mmWave MIMO Radar

Alessandro Vaccari
Primo
;
Carlos A. Gomez-Vega;Gianluca Torsoli;Andrea Conti
Ultimo
2024

Abstract

Activity recognition based on sensing the reflected signals will enable novel services in next generation wireless networks. This paper proposes an approach to achieve high-accuracy activity recognition in complex wireless environments using time-frequency analysis of radar Doppler signatures. The proposed approach is validated via experimentation employing a multiple-input–multiple-output radar at millimeter waves.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2605176
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