• DocumentCode
    3497575
  • Title

    Imaging buried objects in layered media using MUSIC algorithm

  • Author

    Sarafian, Elad ; Shlivinski, Amir

  • Author_Institution
    Dept. of Electr., Ben-Gurion Univ., Beer-Sheva, Israel
  • fYear
    2010
  • fDate
    17-20 Nov. 2010
  • Abstract
    An algorithm for imaging of buried objects in layered media, without explicit use of the Green function, is presented. The algorithm uses a measured data matrix of the medium response (i.e. scattered field) due to wide-beam acoustic point sources excitation as an input. In order to circumvent the explicit need of the medium Green function, the original data matrix is reformulated in terms of propagation and scattering of plane-waves. In layered media, plane-waves propagation can simply be traced by the corresponding transmission line model. It is shown that this reformulation enables the use of a modified multiple signal classification (MUSIC) algorithm in order to image buried objects. The proposed algorithm is tested in simulations where it exhibits the scatterers location and strength.
  • Keywords
    Green´s function methods; acoustic imaging; acoustic signal processing; buried object detection; image classification; inhomogeneous media; Green function; MUSIC algorithm; buried object imaging; data matrix; layered media; modified multiple signal classification algorithm; scattered field; wide beam acoustic point sources excitation; Arrays; Imaging; Multiple signal classification; Nonhomogeneous media; Pulse width modulation; Scattering; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel (IEEEI), 2010 IEEE 26th Convention of
  • Conference_Location
    Eliat
  • Print_ISBN
    978-1-4244-8681-6
  • Type

    conf

  • DOI
    10.1109/EEEI.2010.5662201
  • Filename
    5662201