Motion Classification Based on Harmonic Micro-Doppler Signatures Using a Convolutional Neural Network

We demonstrate the classification of common motions of held objects using the harmonic micro-Doppler signatures scattered from harmonic radio-frequency tags. Harmonic tags capture incident signals and retransmit at harmonic frequencies, making them easier to distinguish from clutter. We characterize...

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Hauptverfasser:	Hilton, Cory, Bush, Steve, Sherman, Faiz, Barker, Matt, Deshpande, Aditya, Willeke, Steve, Nanzer, Jeffrey A
Format:	Artikel
Sprache:	eng
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