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Sensors 2017, 17(10), 2255; doi:10.3390/s17102255

An Algorithm Based Wavelet Entropy for Shadowing Effect of Human Detection Using Ultra-Wideband Bio-Radar

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
3
Department of Medical Engineering, Lanzhou General Hospital of Lanzhou Military Area Command of PLA, Lanzhou 730050, China
These authors contributed equally to this work and should be regarded as co-first author.
*
Authors to whom correspondence should be addressed.
Received: 9 August 2017 / Revised: 22 September 2017 / Accepted: 24 September 2017 / Published: 30 September 2017
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [7714 KB, uploaded 1 October 2017]   |  

Abstract

Ultra-wide band (UWB) radar for short-range human target detection is widely used to find and locate survivors in some rescue missions after a disaster. The results of the application of bistatic UWB radar for detecting multi-stationary human targets have shown that human targets close to the radar antennas are very often visible, while those farther from radar antennas are detected with less reliability. In this paper, on account of the significant difference of frequency content between the echo signal of the human target and that of noise in the shadowing region, an algorithm based on wavelet entropy is proposed to detect multiple targets. Our findings indicate that the entropy value of human targets was much lower than that of noise. Compared with the method of adaptive filtering and the energy spectrum, wavelet entropy can accurately detect the person farther from the radar antennas, and it can be employed as a useful tool in detecting multiple targets by bistatic UWB radar. View Full-Text
Keywords: ultra-wide band (UWB); multiple target detection; wavelet entropy ultra-wide band (UWB); multiple target detection; wavelet entropy
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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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Xue, H.; Liu, M.; Zhang, Y.; Liang, F.; Qi, F.; Chen, F.; Lv, H.; Wang, J.; Zhang, Y. An Algorithm Based Wavelet Entropy for Shadowing Effect of Human Detection Using Ultra-Wideband Bio-Radar. Sensors 2017, 17, 2255.

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