Numerical simulation of UWB impulse radar vital sign detection at an earthquake disaster site

Using the finite difference time domain (FDTD) numerical simulation approach and synthetic computational experiments we investigated the use of the ultra-wide band (UWB) radar technique for human vital sign detection under collapsed building debris caused by catastrophic earthquakes. The model of the collapsed building was developed based on a real situation from an earthquake disaster site. The model consists of two human beings with different characteristics of vital signs, i.e., with different cardio-respiration features, posed in different positions, and buried at different depths in the debris. Analysis of the synthetic data indicates that the UWB impulse radar can identify and separate the human subjects' vital sign for a radar record as short as 20s. The simulation approach was verified with a physical experiment using impulse UWB radar with two human subjects positioned behind a concrete wall. Advanced signal processing of source separation and signal processing using empirical mode decomposition were conducted to identify and locate the human subjects. The results show that this approach is a promising technique for search and rescue of living victims at disaster sites.

[1]  Hiroshi Sawada,et al.  A robust and precise method for solving the permutation problem of frequency-domain blind source separation , 2004, IEEE Transactions on Speech and Audio Processing.

[2]  Lanbo Liu,et al.  Propagation of Radar Pulses from a Horizontal Dipole in Variable Dielectric Ground: A Numerical Approach , 2005 .

[3]  J. Sulé-Suso,et al.  Dielectric spectroscopy of normal and malignant human lung cells at ultra-high frequencies , 2009, Physics in medicine and biology.

[4]  Bo Hsien Wu,et al.  Audio signal separation via a combination procedure of time-reversal and deconvolution process , 2010 .

[5]  A.G. Yarovoy,et al.  Assessment of Electromagnetic Requirements for UWB Through-Wall Radar , 2007, 2007 International Conference on Electromagnetics in Advanced Applications.

[6]  Norden E. Huang,et al.  A review on Hilbert‐Huang transform: Method and its applications to geophysical studies , 2008 .

[7]  Sergey Ivashov,et al.  Detection of Human Breathing and Heartbeat by Remote Radar , 2004 .

[8]  Benjamin E. Barrowes,et al.  Through-Wall Bio-Radiolocation With UWB Impulse Radar: Observation, Simulation and Signal Extraction , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[9]  Matthaios Bimpas,et al.  Development of a Three Band Radar System for Detecing Trapped Alive Humans Under Building Ruins , 2004 .

[10]  S. Saha,et al.  Electric and dielectric properties of wet human cortical bone as a function of frequency , 1992, IEEE Transactions on Biomedical Engineering.

[11]  K. Yee Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media , 1966 .

[12]  Andriyan Bayu Suksmono,et al.  Compressive Stepped-Frequency Continuous-Wave Ground-Penetrating Radar , 2010, IEEE Geoscience and Remote Sensing Letters.

[13]  Joseph D. Bronzino,et al.  The Biomedical Engineering Handbook , 1995 .

[14]  Jean-Pierre Berenger,et al.  A perfectly matched layer for the absorption of electromagnetic waves , 1994 .

[15]  David Girbau,et al.  ANALYSIS OF VITAL SIGNS MONITORING USING AN IR-UWB RADAR , 2010 .