• DocumentCode
    2066481
  • Title

    Landmine detection utilizing an unmanned aerial vehicle

  • Author

    Goad, Aaron ; Schorer, Daniel ; Sullenberger, Jezeree ; Yousuf, Farooq ; Yu, Amy ; Donohue, George ; Hintz, Kenneth

  • Author_Institution
    George Mason Univ., Mason, OH
  • fYear
    2008
  • fDate
    25-25 April 2008
  • Firstpage
    231
  • Lastpage
    236
  • Abstract
    Landmines pose a great danger to people in many areas. It is imperative to correctly identify the location of landmines for proper removal. Hence, there is a need to efficiently and accurately identify locations of landmines. The objective of this project is to conduct preliminary system analysis of three unmanned aerial vehicles (UAVs) utilizing ground penetrating synthetic aperture radar (GPSAR) aiding in the detection of landmines. Moreover, the effort will aid in assessing the overall effectiveness of landmine detection utilizing a UAV. Three design alternatives are modeled and tested. The first design alternative is a MQ-1 Predator; a long-endurance UAV primarily used for reconnaissance and surveillance missions. The second alternative is a Shadow 600. The Shadow 600 is capable of carrying various payloads. The third design alternative is the Shadow 200 which can be launched from the ground using a catapult. Each design alternative carries an unfocused GPSAR utilizing the length of the fuselage to increase aperture efficiency. Using satellite tool kit (STK) analysis software, design alternatives are assessed by their performance in scanning a one square kilometer area of interest (AOI). Critical figures of merit used to elicit system effectiveness include time on target (time that the radar pulses the landmine), area overlap percentage, area coverage, coverage speed, and energy consumption. Acquisition cost, operational cost, and maintenance cost of each design alternative are plotted against system effectiveness to identify the best alternative.
  • Keywords
    aerospace robotics; ground penetrating radar; landmine detection; mobile robots; remotely operated vehicles; robot vision; synthetic aperture radar; Shadow 600; area coverage; area overlap percentage; coverage speed; energy consumption; ground penetrating synthetic aperture radar; landmine detection; preliminary system analysis; satellite tool kit analysis software; unmanned aerial vehicle; Apertures; Costs; Landmine detection; Payloads; Radar detection; Reconnaissance; Surveillance; Testing; Unmanned aerial vehicles; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Information Engineering Design Symposium, 2008. SIEDS 2008. IEEE
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    978-1-4244-2365-1
  • Electronic_ISBN
    978-1-4244-2366-8
  • Type

    conf

  • DOI
    10.1109/SIEDS.2008.4559717
  • Filename
    4559717