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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.
| Original language | English |
|---|---|
| Title of host publication | 3rd Post IRACON Meeting |
| Number of pages | 7 |
| Publication status | Published - 31 May 2021 |
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Dive into the research topics of 'Car Occupant Detection Using Ultra-Wideband Radar'. Together they form a unique fingerprint.Projects
- 1 Finished
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SEAMAL Front - Securely Applied Machine Learning
Witrisal, K. (Co-Investigator (CoI)), Bischof, H. (Co-Investigator (CoI)), Schreiber, H. (Co-Investigator (CoI)) & Freiberger, G. (Co-Investigator (CoI))
1/10/20 → 30/09/23
Project: Research project