• DocumentCode
    544132
  • Title

    Performance analysis of a hyperbola fitting algorithm to determine the position of objects in the near field of a UWB detection system

  • Author

    Pohlmann, Martin ; Zibold, Tobias ; Sturtz, Dorothea ; Brosi, Jan ; Braun, Heiko ; Solbach, Klaus

  • Author_Institution
    Robert Bosch GmbH, Leinfelden, Germany
  • fYear
    2011
  • fDate
    14-16 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Ultra wideband (UWB) radar detection devices offer, due to their huge bandwidth, the possibility of high time resolution. It is possible to estimate the position of buried objects in walls or floors without knowing the electromagnetic properties of the background material by using a hyperbola fitting algorithm. The performance of this algorithm with respect to the number of used array elements, the total array length, the propagation velocity, the object position and to measurement jitter is evaluated by Monte Carlo simulations. These simulations are used to define minimum detection system requirements. Measurements are conducted with buried and unburied objects placed in the near field of a virtual Vivaldi array and the errors of the object position estimation are presented. Advantages and disadvantages of the algorithm are discussed.
  • Keywords
    Monte Carlo methods; antenna arrays; buried object detection; electromagnetic wave propagation; jitter; ultra wideband radar; Monte Carlo simulations; array elements; buried objects; electromagnetic properties; hyperbola fitting algorithm; measurement jitter; object position estimation; propagation velocity; ultra wideband radar detection devices; virtual Vivaldi array; Antenna arrays; Antenna measurements; Arrays; Estimation error; Jitter; Buried objects; hyperbola fitting; near field; radar data processing; ultra wideband radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (GeMIC), 2011 German
  • Conference_Location
    Darmstadt
  • Print_ISBN
    978-1-4244-9225-1
  • Electronic_ISBN
    978-3-9812668-3-2
  • Type

    conf

  • Filename
    5760739