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Sensors 2018, 18(1), 47; https://doi.org/10.3390/s18010047

Doppler Radar Vital Signs Detection Method Based on Higher Order Cyclostationary

1
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
2
School of Electrical and Electronic Engineering, University of Leeds, Leeds LS2 9AY, UK
*
Author to whom correspondence should be addressed.
Received: 30 September 2017 / Revised: 26 November 2017 / Accepted: 21 December 2017 / Published: 26 December 2017
(This article belongs to the Special Issue Sensors and Analytics for Precision Medicine)
Full-Text   |   PDF [802 KB, uploaded 26 December 2017]   |  

Abstract

Due to the non-contact nature, using Doppler radar sensors to detect vital signs such as heart and respiration rates of a human subject is getting more and more attention. However, the related detection-method research meets lots of challenges due to electromagnetic interferences, clutter and random motion interferences. In this paper, a novel third-order cyclic cummulant (TOCC) detection method, which is insensitive to Gaussian interference and non-cyclic signals, is proposed to investigate the heart and respiration rate based on continuous wave Doppler radars. The k-th order cyclostationary properties of the radar signal with hidden periodicities and random motions are analyzed. The third-order cyclostationary detection theory of the heart and respiration rate is studied. Experimental results show that the third-order cyclostationary approach has better estimation accuracy for detecting the vital signs from the received radar signal under low SNR, strong clutter noise and random motion interferences. View Full-Text
Keywords: vital signs; signal processing; heart and respiration rate; higher order cyclostationary; Doppler radar vital signs; signal processing; heart and respiration rate; higher order cyclostationary; Doppler radar
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Yu, Z.; Zhao, D.; Zhang, Z. Doppler Radar Vital Signs Detection Method Based on Higher Order Cyclostationary. Sensors 2018, 18, 47.

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