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Sensors 2016, 16(11), 1793; doi:10.3390/s16111793

Detection and Identification of Multiple Stationary Human Targets Via Bio-Radar Based on the Cross-Correlation Method

1
Department of Biomedical Engineering, Fourth Military Medical University, Xi’an 710032, China
2
Center for Disease Control and Prevention of Guangzhou Military Region, Guangzhou 510507, China
These authors contributed equally to this work and should be regarded as co-first author.
*
Authors to whom correspondence should be addressed.
Academic Editors: Changzhi Li, Roberto Gómez-García and José-María Muñoz-Ferreras
Received: 18 August 2016 / Revised: 15 October 2016 / Accepted: 18 October 2016 / Published: 27 October 2016
(This article belongs to the Special Issue Non-Contact Sensing)
View Full-Text   |   Download PDF [4289 KB, uploaded 27 October 2016]   |  

Abstract

Ultra-wideband (UWB) radar has been widely used for detecting human physiological signals (respiration, movement, etc.) in the fields of rescue, security, and medicine owing to its high penetrability and range resolution. In these applications, especially in rescue after disaster (earthquake, collapse, mine accident, etc.), the presence, number, and location of the trapped victims to be detected and rescued are the key issues of concern. Ample research has been done on the first issue, whereas the identification and localization of multi-targets remains a challenge. False positive and negative identification results are two common problems associated with the detection of multiple stationary human targets. This is mainly because the energy of the signal reflected from the target close to the receiving antenna is considerably stronger than those of the targets at further range, often leading to missing or false recognition if the identification method is based on the energy of the respiratory signal. Therefore, a novel method based on cross-correlation is proposed in this paper that is based on the relativity and periodicity of the signals, rather than on the energy. The validity of this method is confirmed through experiments using different scenarios; the results indicate a discernible improvement in the detection precision and identification of the multiple stationary targets. View Full-Text
Keywords: ultra-wideband radar; false positive and negative identification; multiple stationary human targets; energy detection; cross-correlation ultra-wideband radar; false positive and negative identification; multiple stationary human targets; energy detection; cross-correlation
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MDPI and ACS Style

Zhang, Y.; Chen, F.; Xue, H.; Li, Z.; An, Q.; Wang, J.; Zhang, Y. Detection and Identification of Multiple Stationary Human Targets Via Bio-Radar Based on the Cross-Correlation Method. Sensors 2016, 16, 1793.

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