• DocumentCode
    2812702
  • Title

    An electromagnetic inverse problem in determination of certain 2D source distributions

  • Author

    Delecki, Z.A.

  • Author_Institution
    Nat. Res. Council of Canada, Winnipeg, Man., Canada
  • fYear
    1991
  • fDate
    24-28 June 1991
  • Firstpage
    1312
  • Abstract
    A method for determination of source distributions of planar structures is described. The inverse problem is formulated as an identification problem. The method consists of measurements of weak electromagnetic signals in the source region and inverse processing of the acquired data in order to retrieve information about spatial distributions. The source region Green´s function is used in order to develop the inverse problem equations. Integrals are solved for the voltage of the sensing antenna in terms of unknown parameters of the source distribution. A numerical inverse problem equation is obtained through transformation of an analytical solution in terms of unknown parameters into a matrix equation. This transformation leads to a positive definite matrix of the system of simultaneous equations. An application of the inverse problem to the quality testing of multilayer printed circuit boards is included.<>
  • Keywords
    Green´s function methods; antennas; electromagnetic field theory; inverse problems; 2D source distributions; Green function; electromagnetic inverse problem; identification problem; matrix equation; multilayer printed circuit boards; planar structures; positive definite matrix; quality testing; sensing antenna; simultaneous equations; spatial distributions; weak electromagnetic signals; Antenna measurements; Circuit testing; Electromagnetic measurements; Green´s function methods; Information retrieval; Integral equations; Inverse problems; Signal processing; Transmission line matrix methods; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 1991. AP-S. Digest
  • Conference_Location
    London, Ontario, Canada
  • Print_ISBN
    0-7803-0144-7
  • Type

    conf

  • DOI
    10.1109/APS.1991.175090
  • Filename
    175090