Sequential Estimator for Breathing and Heart Beat Frequencies Using Radar

Master thesis (2019)

Authors

G. Su Electrical Engineering, Mathematics and Computer Science

Contributors

Alexander Yarovoy Microwave Sensing, Signals & Systems - EEMCS (supervisor 1)
N. Petrov Microwave Sensing, Signals & Systems - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Guigeng Su
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Published Date

28-08-2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

With an LFMCW automotive radar operating at its center frequency of 77GHz, the sequential estimation of frequency and amplitude for vital signs, namely, respiration and heartbeat, are considered. The radar response of vital signs is described and analyzed. With extraction of the phase history, extended Kalman filter and particle filter are simulated. Extended Kalman filter with a certain number of samples per iteration performs well for sequential estimating the respiratory frequency and amplitude in different scenarios. This sequential estimator is then verified by experimental data.