Car Occupancy Detection Using Ultra-Wideband Radar

Activity: Talk or presentationTalk at conference or symposiumScience to science

Description

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.
Period6 Apr 2022
Event title18th European Radar Conference: EuRAD 2021
Event typeConference
Conference number18
LocationLondon, United KingdomShow on map
Degree of RecognitionInternational

Keywords

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

ASJC Scopus subject areas

  • Signal Processing