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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Homa Arab, Iman Ghaffari, Lydia Chioukh, Serioja Tatu, Steven Dufour
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2021-06-01
Sarja:Sensors
Aiheet:
doppler frequency
in-phase/quadrature demodulator
machine learning
millimeter-wave
multi-class SVMs
metronome
Linkit:https://www.mdpi.com/1424-8220/21/13/4291

Internet

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

Samankaltaisia teoksia