Next Article in Journal
Portable Electronic Tongue Based on Microsensors for the Analysis of Cava Wines
Next Article in Special Issue
Microwave Chemical Sensor Using Substrate-Integrated-Waveguide Cavity
Previous Article in Journal
Sensor Location Problem Optimization for Traffic Network with Different Spatial Distributions of Traffic Information
Previous Article in Special Issue
Development and Application of a Wireless Sensor for Space Charge Density Measurement in an Ultra-High-Voltage, Direct-Current Environment
Open AccessArticle

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

by 1,2,†, 1,†, 1, 1, 1, 1,* and 1,*
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
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work and should be regarded as co-first author.
Academic Editors: Changzhi Li, Roberto Gómez-García and José-María Muñoz-Ferreras
Sensors 2016, 16(11), 1793; https://doi.org/10.3390/s16111793
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)
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
Show Figures

Figure 1

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop