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Improving Passenger Safety in Cars Using Novel Radar Signal Processing
  • Hajar Abedifirouzjaei,
  • George Shaker,
  • Clara magnier
Hajar Abedifirouzjaei
University of Waterloo
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George Shaker
University of Waterloo
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Clara magnier
University of Waterloo
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Abstract

We present a novel radar signal processing technique to identify the presence or absence of a living body in a vehicle using a mm-wave frequency-modulated continuous-wave radar. Unlike traditional detection methods which are mostly based on constant false alarm rate (CFAR), our proposed method extracts and monitors the consistent Doppler effect of received signals from the radar antenna resulting from the consistent breathing of living bodies over time. The proposed method works in all types of cars without the need for threshold definition for tracking as well as no need for training. Hence, the algorithm is more robust, accurate and fast. We assess our proposed signal processing with two phantoms mimicking the breathing of children and with adults in the vehicle in various conditions. The system has been proven to be robust in extensive studies over the course of multiple months.
01 Feb 2020Submitted to Engineering Reports
05 Feb 2020Submission Checks Completed
05 Feb 2020Assigned to Editor
21 Feb 2020Reviewer(s) Assigned
21 Apr 2020Editorial Decision: Reject & Resub
31 Jan 20211st Revision Received
02 Feb 2021Assigned to Editor
02 Feb 2021Submission Checks Completed
02 Feb 2021Reviewer(s) Assigned
02 Mar 2021Editorial Decision: Revise Minor
30 Mar 20212nd Revision Received
30 Mar 2021Submission Checks Completed
30 Mar 2021Assigned to Editor
31 Mar 2021Editorial Decision: Accept