Autoencoder-Based Target Detection in Automotive MIMO FMCW Radar System

In general, a constant false alarm rate algorithm (CFAR) is widely used to automatically detect targets in an automotive frequency-modulated continuous wave (FMCW) radar system. However, if the number of guard cells, the number of training cells, and the probability of false alarm are set improperly...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 15; S. 5552
Hauptverfasser:	Kang, Sung-wook, Jang, Min-ho, Lee, Seongwook
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 25.07.2022 MDPI
Schlagworte:	Algorithms Antennas autoencoder Climate change constant false alarm rate Deep learning False alarms Fourier transforms frequency-modulated continuous wave radar multiple-input and multiple-output Neural networks Radar systems Sensors target detection
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!