• DocumentCode
    622980
  • Title

    Born approximated inverse scattering using beam basis functions

  • Author

    Heilpern, Tal ; Heyman, Ehud

  • Author_Institution
    Sch. of Electr. Eng., Tel Aviv Univ., Tel Aviv, Israel
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    926
  • Lastpage
    929
  • Abstract
    We present a novel beam-based inverse scattering algorithm within the Born approximation, utilizing data measured by arrays of point sources and receivers (transducers). In this approach, the measured point-source/receiver data is first converted into a beam-domain data where the source and the receiver arrays are described by phase-space sets of beam waves. The beam-domain data describes the scattering amplitudes “measured” by the receiver beams due to each source beam. In the new inversion approach presented here, the unknown medium is spanned using a basis of beam-waves, and the expansion coefficients are determined by multiplying the beam-domain data with pseudo inverse of the correlation matrix of the beam basis function. The scheme benefits from the sparseness of the beam-domain data and from the spatial localization of the beam spanning functions.
  • Keywords
    approximation theory; correlation methods; electromagnetic wave scattering; matrix inversion; receivers; ultra wideband technology; Born approximation; beam basis functions; beam spanning functions; beam waves; beam-based inverse scattering algorithm; beam-domain data sparseness; expansion coefficient determination; phase-space sets; point source arrays; point-source data; pseudoinverse correlation matrix; receiver arrays; receiver beams; receiver data; scattering amplitudes; source beam; spatial localization; Approximation methods; Arrays; Imaging; Inverse problems; Matrix converters; Receivers; Scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Theory (EMTS), Proceedings of 2013 URSI International Symposium on
  • Conference_Location
    Hiroshima
  • Print_ISBN
    978-1-4673-4939-0
  • Type

    conf

  • Filename
    6565896