In this paper, we analyze the radar echo signals of a 24 GHz FMCW radar obtained from two different groups of moving targets (humans and vehicles). Range and Doppler information are obtained with a 2D FFT analysis. The aim of this paper is to describe the experimental setup, the adopted approach for the extraction of the Doppler-based features for human-vehicle classification, and the results obtained so far. In particular, the differences between pedestrians and vehicles in the Doppler domain will be reported and discussed.
Feature Extraction for Human-Vehicle Classification in FMCW Radar
Rizik, Ali;Randazzo, Andrea;Caviglia, Daniele D.
2019-01-01
Abstract
In this paper, we analyze the radar echo signals of a 24 GHz FMCW radar obtained from two different groups of moving targets (humans and vehicles). Range and Doppler information are obtained with a 2D FFT analysis. The aim of this paper is to describe the experimental setup, the adopted approach for the extraction of the Doppler-based features for human-vehicle classification, and the results obtained so far. In particular, the differences between pedestrians and vehicles in the Doppler domain will be reported and discussed.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
ICECS2019_FMCW_Feature.pdf
accesso chiuso
Tipologia:
Documento in versione editoriale
Dimensione
779.8 kB
Formato
Adobe PDF
|
779.8 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
