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Doppler-Spectrum Feature-Based Human–Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor

In this paper, we propose a Doppler-spectrum feature-based human–vehicle classification scheme for an FMCW (frequency-modulated continuous wave) radar sensor. We introduce three novel features referred to as the scattering point count, scattering point difference, and magnitude difference rate featu...

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Vydáno v:Sensors (Basel)
Hlavní autoři: Hyun, Eugin, Jin, YoungSeok
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7180962/
https://ncbi.nlm.nih.gov/pubmed/32252496
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20072001
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