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Sensors 2018, 18(3), 694; https://doi.org/10.3390/s18030694

Probabilities of False Alarm for Vital Sign Detection on the Basis of a Doppler Radar System

1
School of Engineering and Advanced Technology, Massey University, Manawatu Private Bag 11 222, Palmerston North 4442, New Zealand
2
School of Engineering, Macquarie University, Sydney 2109, Australia
3
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi 100000, Vietnam
*
Author to whom correspondence should be addressed.
Received: 17 January 2018 / Revised: 21 February 2018 / Accepted: 22 February 2018 / Published: 26 February 2018
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [2235 KB, uploaded 26 February 2018]   |  

Abstract

Vital detection on the basis of Doppler radars has drawn a great deal of attention from researchers because of its high potential for applications in biomedicine, surveillance, and finding people alive under debris during natural hazards. In this research, the signal-to-noise ratio (SNR) of the remote vital-sign detection system is investigated. On the basis of different types of noise, such as phase noise, Gaussian noise, leakage noise between the transmitting and receiving antennae, and so on, the SNR of the system has first been examined. Then the research has focused on the investigation of the detection and false alarm probabilities of the system when the transmission link between the human and the radar sensor system took the Nakagami-m channel model. The analytical model for the false alarm and the detection probabilities of the system have been derived. The proposed theoretical models for the SNR and detection probability match with the simulation and measurement results. These theoretical models have the potential to be used as good references for the hardware development of the vital-sign detection radar sensor system. View Full-Text
Keywords: vital signals; finding survivors; Doppler radar; heart beat; breathing signal; detection probability vital signals; finding survivors; Doppler radar; heart beat; breathing signal; detection probability
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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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Phuoc Van, N.T.; Tang, L.; Mukhopadhyay, S.C.; Nguyen, D.M.; Hasan, F. Probabilities of False Alarm for Vital Sign Detection on the Basis of a Doppler Radar System. Sensors 2018, 18, 694.

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