Machine Learning Based Object Classification and Identification Scheme Using an Embedded Millimeter-Wave Radar Sensor

Machine Learning Based Object Classification and Identification Scheme Using an Embedded Millimeter-Wave Radar Sensor

A target’s movements and radar cross sections are the key parameters to consider when designing a radar sensor for a given application. This paper shows the feasibility and effectiveness of using 24 GHz radar built-in low-noise microwave amplifiers for detecting an object. For this purpose a supervi...

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Bibliographic Details
Main Authors: Homa Arab, Iman Ghaffari, Lydia Chioukh, Serioja Tatu, Steven Dufour
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
doppler frequency
in-phase/quadrature demodulator
machine learning
millimeter-wave
multi-class SVMs
metronome
Online Access:https://www.mdpi.com/1424-8220/21/13/4291

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https://www.mdpi.com/1424-8220/21/13/4291

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