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...

Popoln opis

Bibliografske podrobnosti
Main Authors: Eugin Hyun, YoungSeok Jin
Format: Article
Jezik:English
Izdano: MDPI AG 2020-04-01
Serija:Sensors
Teme:
Online dostop:https://www.mdpi.com/1424-8220/20/7/2001