DocumentCode :
59869
Title :
Advanced Signal Processing for Vital Sign Extraction With Applications in UWB Radar Detection of Trapped Victims in Complex Environments
Author :
Jing Li ; Lanbo Liu ; Zhaofa Zeng ; Fengshan Liu
Author_Institution :
Coll. of geo-exploration Sci. &Tech, Jilin Univ., Changchun, China
Volume :
7
Issue :
3
fYear :
2014
fDate :
Mar-14
Firstpage :
783
Lastpage :
791
Abstract :
Ultra-wideband (UWB) radar plays an important role in search and rescue at disaster relief sites. Identifying vital signs and locating buried survivors are two important research contents in this field. In general, it is hard to identify a human´s vital signs (breathing and heartbeat) in complex environments due to the low signal-to-noise ratio of the vital sign in radar signals. In this paper, advanced signal-processing approaches are used to identify and to extract human vital signs in complex environments. First, we apply Curvelet transform to remove the source-receiver direct coupling wave and background clutters. Next, singular value decomposition is used to de-noise in the life signals. Finally, the results are presented based on FFT and Hilbert-Huang transform to separate and to extract human vital sign frequencies, as well as the micro-Doppler shift characteristics. The proposed processing approach is first tested by a set of synthetic data generated by FDTD simulation for UWB radar detection of two trapped victims under debris at an earthquake site of collapsed buildings. Then, it is validated by laboratory experiments data. The results demonstrate that the combination of UWB radar as the hardware and advanced signal-processing algorithms as the software has potential for efficient vital sign detection and location in search and rescue for trapped victims in complex environment.
Keywords :
Doppler radar; Hilbert transforms; curvelet transforms; disasters; earthquakes; emergency management; fast Fourier transforms; finite difference time-domain analysis; radar detection; radar signal processing; signal denoising; singular value decomposition; ultra wideband radar; Curvelet transform; FDTD simulation; FFT; Hilbert-Huang transform; UWB radar detection; advanced radar signal processing; buried survivors location; collapsed buildings; complex environments; debris; disaster relief sites; earthquake site; human vital sign extraction; human vital signs identification; micro-Doppler shift characteristics; search and rescue; signal denoising; signal-to-noise ratio; singular value decomposition; synthetic data generation; trapped victims; ultra wideband; Clutter; Heart beat; Matrix decomposition; Noise; Time-domain analysis; Transforms; Ultra wideband radar; Finite-difference time-domain (FDTD) simulation; signal processing; trapped human detection; ultra-wideband (UWB) radar; vital sign;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2013.2259801
Filename :
6515712
Link To Document :
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