• DocumentCode
    1255845
  • Title

    Signal processing techniques for landmine detection using impulse ground penetrating radar

  • Author

    Zoubir, Abdelhak M. ; Chant, Ian James ; Brown, Christopher L. ; Barkat, Braham ; Abeynayake, Canicious

  • Author_Institution
    Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    2
  • Issue
    1
  • fYear
    2002
  • fDate
    2/1/2002 12:00:00 AM
  • Firstpage
    41
  • Lastpage
    51
  • Abstract
    Landmines are affecting the lives and livelihoods of millions of people around the world. A number of detection techniques, developed for use with impulse ground penetrating radar, are described, with emphasis on a Kalman filter based approach. Comparison of results from real data show that the Kalman filter algorithm provides the best detection performance, although its computational burden is also the highest
  • Keywords
    Kalman filters; buried object detection; military radar; radar applications; radar signal processing; Kalman filter based approach; UXO; buried object detection; computational burden; detection techniques; impulse ground penetrating radar; radar signal processing; signal processing techniques; Australia; Detectors; Dogs; Ground penetrating radar; Landmine detection; Neutrons; Nuclear magnetic resonance; Radar detection; Radar signal processing; Soil;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/7361.987060
  • Filename
    987060