Experimental Study of Through-Wall Human Detection by UWB Radar with Hilbert Huang Transform

  • Ashith Kumar
  • Qilian Liang
  • Zhuo Li
  • Baoju Zhang
  • Xiaorong Wu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 202)

Abstract

The detection of human targets hidden by walls or rubble, trapped in buildings is of interest for rescue, surveillance and security operations. In this paper, ultra-wideband (UWB) radar and its detection application are studied. Experiments on target detection of through-wall human being are carried out in two scenarios: through-gypsum-wall, and through-wooden-door, and the UWB radar used in these experiments is PulsOn 220 in monostatic mode. Detection of through-wall human beings with the UWB radar is based on movement detection – respiratory motions and movement of body parts. So Hilbert Huang Transform (HHT) is employed as the detection technique, and the breathing information of human target is contained in the third intrinsic mode function (IMF 3). The experimental results for human target detection behind gypsum wall and wooden door are separately demonstrated.

Keywords

Human detection UWB radar Hilbert Huang Transform Intrinsic mode function 

References

  1. 1.
    Alabacak C (2002) Analysis of ultra wideband (UWB) technology for an indoor geolocation and physiological monitoring system. Master’s Thesis, Air Force Institute of TechnologyGoogle Scholar
  2. 2.
    Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. In: Proceedings of the royal society Of London series a – mathematical physical and engineering sciences, London, Great Britain, vol 454, March 1998, pp 903–995Google Scholar
  3. 3.
    Huseyin A, Zhining C, Benedetto D (2006) Ultra wideband wireless communication. Wiley, Hoboken, pp 10–11Google Scholar
  4. 4.
    Lai C-P, Ruan Q, Narayanan MR (2007) Hilbert-Huang transform (HHT) processing of through-wall noise radar data for human activity characterization. In: 2007 I.E. workshop on signal processing applications for public security and forensics, Washington D.C., USA, April 2007, pp 1–6, 11–13Google Scholar
  5. 5.
    Miller EL (2003) Why UWB ? A review of Ultra wideband Technology NETEX Project Office, DARPAGoogle Scholar
  6. 6.
    Narayanan MR (2008) Through-wall radar imaging using UWB noise waveforms. In: 2008 I.E. international conference on acoustics, speech and signal processing, Las Vegas, USA, March–April 2008, pp 5185–5188Google Scholar
  7. 7.
    Time Domain Corporation (2008) Monostatic radar (MSR) analysis tool application noteGoogle Scholar
  8. 8.
    Yarovoy AG, Matuzas J, Levitas B, Ligthart LP (2009) UWB radar for human being detection. IEEE Aerosp Electr Syst Mag 23(5):36–40CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Ashith Kumar
    • 1
  • Qilian Liang
    • 1
  • Zhuo Li
    • 1
  • Baoju Zhang
    • 2
  • Xiaorong Wu
    • 2
  1. 1.Department of Electrical EngineeringUniversity of Texas at ArlingtonArlingtonUSA
  2. 2.College of Physics and Electronic InformationTianjin Normal UniversityTianjinChina

Personalised recommendations