Projekte pro Jahr
Abstract
In this paper, we propose car occupancy detection using ultra-wideband (UWB) radar. A radio channel model is developed for the passenger cabin of
the car and a single occupant, based on a pinhole channel. A detector is derived to detect repetitive motion within this channel, such as the breathing motion of a
human. Measurements have been performed to confirm the structural assumptions about the channel and received signal whereas Monte-Carlo simulations demonstrate an improved detection rate compared to a windowed energy
detector or FFT-detector under low signal-to-noise ratio (SNR) conditions.
the car and a single occupant, based on a pinhole channel. A detector is derived to detect repetitive motion within this channel, such as the breathing motion of a
human. Measurements have been performed to confirm the structural assumptions about the channel and received signal whereas Monte-Carlo simulations demonstrate an improved detection rate compared to a windowed energy
detector or FFT-detector under low signal-to-noise ratio (SNR) conditions.
Originalsprache | englisch |
---|---|
Titel | 3rd Post IRACON Meeting |
Seitenumfang | 7 |
Publikationsstatus | Veröffentlicht - 31 Mai 2021 |
Fingerprint
Untersuchen Sie die Forschungsthemen von „Car Occupant Detection Using Ultra-Wideband Radar“. Zusammen bilden sie einen einzigartigen Fingerprint.Projekte
- 1 Abgeschlossen
-
SEAMAL Front - Sicher angewandtes maschinelles Lernen
Witrisal, K. (Teilnehmer (Co-Investigator)), Bischof, H. (Teilnehmer (Co-Investigator)), Schreiber, H. (Teilnehmer (Co-Investigator)) & Freiberger, G. (Teilnehmer (Co-Investigator))
1/10/20 → 30/09/23
Projekt: Forschungsprojekt