Car Occupancy Detection Using Ultra-Wideband Radar

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


In this paper, we propose car occupancy detection using ultra-wideband (UWB) radar to detect the breathing motion of a person. The target signal and multipath propagation inside the car are modeled as a pinhole channel. We show that the received signal can be described by the Kronecker product of the channel and breathing motion vectors. Thus, the covariance can be computed from the delay profile of the channel and the power spectrum of the chest motion. An estimator-correlator is applied for the detection. Measurements have been performed to confirm the structural assumptions about the received signal whereas Monte-Carlo simulations are used to evaluate the detection performance. The simulations demonstrate an improved detection rate in low signal-to-noise ratio (SNR) conditions compared to a windowed energy detector or FFT-detector.
Translated title of the contributionFahrzeug insasssen detektion mittels ultra-breitband Radar
Original languageEnglish
Title of host publication2021 18th European Radar Conference, EuRAD 2021
PublisherIEEE Xplore
Number of pages4
ISBN (Electronic)9782874870651
ISBN (Print)9781665447232
Publication statusPublished - 5 Apr 2022
Event18th European Radar Conference: EuRAD 2021 - Excel London Exhibition & Conference Centre, London, United Kingdom
Duration: 5 Apr 20227 Apr 2022
Conference number: 18


Conference18th European Radar Conference
Abbreviated titleEuRAD 2021
Country/TerritoryUnited Kingdom
Internet address


  • ultra wideband radar
  • motion detection
  • detection algorithms
  • Vehicle Safety
  • vehicle safety

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Instrumentation
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Computer Science Applications

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