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

Doppler Radar Vital Signs Detection Method Based on Higher Order Cyclostationary

School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
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)
View Full-Text   |   Download PDF [802 KB, uploaded 26 December 2017]   |  


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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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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