Detection of Vital Signs in Presence of Car Vibrations and RADAR-Based Passenger Classification

The observation of passenger's vital signs using an interior RADAR becomes rather challenging when the vehicle is in motion. Besides vital signs, the signal received by the RADAR also detects a second, unwanted, motion induced by exterior effects, e.g. car displacement caused by road conditions, strong wind gusts or car engine vibrations. Consequently, ”traditional” denoising techniques cannot be applied in this case. We propose a novel method to denoise the signal received by an interior RADAR using accelerometer measurements and a mechanical model to generate the cancellation signal stemming from the unwanted vibrational motion. Further, the aforementioned denoising techniques enables us to construct an optimization problem to find an estimation for the passenger's mass.