Car Occupant Detection Using Ultra-Wideband Radar

Jakob Möderl; Franz Pernkopf; Klaus Witrisal

Car Occupant Detection Using Ultra-Wideband Radar

Institute of Signal Processing and Speech Communication (4420)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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.

Original language	English
Title of host publication	3rd Post IRACON Meeting
Number of pages	7
Publication status	Published - 31 May 2021

Fields of Expertise

Information, Communication & Computing

SEAMAL Front - Securely Applied Machine Learning
Schreiber, H. (Project manager on research unit), Bischof, H. (Project manager on research unit), Witrisal, K. (Project manager on research unit), Freiberger, G. (Attendee / Assistant) & Schreiber, H. (Consortium manager resp. coordinator of internal research units)
1/10/20 → 30/09/23
Project: Research project

Cite this

@inproceedings{36e92f4aab37439dbe8de04022231c1d,

title = "Car Occupant Detection Using Ultra-Wideband Radar",

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.",

author = "Jakob M{\"o}derl and Franz Pernkopf and Klaus Witrisal",

year = "2021",

month = may,

day = "31",

language = "English",

booktitle = "3rd Post IRACON Meeting",

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T1 - Car Occupant Detection Using Ultra-Wideband Radar

AU - Möderl, Jakob

AU - Pernkopf, Franz

AU - Witrisal, Klaus

PY - 2021/5/31

Y1 - 2021/5/31

N2 - 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.

AB - 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.

M3 - Conference paper

BT - 3rd Post IRACON Meeting

ER -

Car Occupant Detection Using Ultra-Wideband Radar

Abstract

Fields of Expertise

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Projects

SEAMAL Front - Securely Applied Machine Learning

Cite this