Title: Time-frequency analysis of terahertz radar signal for vital signs sensing based on radar sensor
Authors: Zhengwu Xu; Yuanjie Wu; Xiaoqian Lu
Addresses: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China ' School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China ' School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
Abstract: In this paper, we studied how to use radar sensing technology to monitor the human target and extract the heartbeat and breath rates of human beings using terahertz bandwidth. Specifically, a type of nonlinear time frequency analysis for the detection of weak signals, i.e., the Smoothed Pseudo Wigner Ville Distribution, is presented. First, the echo model of a human target is established. Second, by combining the over-sampling technique with the T-F analysis method, the accurate speed information is obtained to solve the problem of the micromovement feature extraction signal-to-noise ratio. Finally, the frequencies corresponding to heartbeat and breath, respectively, are obtained by down-sampling based on further analysis. Our experiment results show that the detection efficiency by Terahertz radar is better than that by short time Fourier transform and radar networking technology effectively in dynamic tracking and monitoring of the human body.
Keywords: Doppler; over-sampling; SPWVD; sensor networks; time-frequency analysis; terahertz radar signals; vital signs; radar sensors; heartbeat monitoring; breathing rate; echo modelling; feature extraction; signal-to-noise ratio; dynamic tracking; heart rate.
International Journal of Sensor Networks, 2013 Vol.13 No.4, pp.241 - 253
Published online: 30 Jul 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article