• DocumentCode
    125147
  • Title

    Dual method of minimum spatial extent

  • Author

    Vovk, S.M. ; Borulko, V.F.

  • Author_Institution
    Dept. Phys., Electron. & Comput. Syst., Oles Honchar Dnipropetrovsk Nat. Univ., Dnipropetrovsk, Ukraine
  • fYear
    2014
  • fDate
    26-28 Aug. 2014
  • Firstpage
    144
  • Lastpage
    147
  • Abstract
    Inverse problem of radiation-sources restoration from near-field measurement data is considered. Case of data distortion by additive noise and spikes is investigated. New approach based on a concept of “spatial extent” is suggested. It states that the weighted sum of spatial extent of solution discrepancy and spatial extent of solution should be a minimum. Thus, the concept of spatial extent is used two times, namely, in an original space (which is the space of solution) and in a conjugate space (which is the space of solution discrepancy). The model of radiation sources is described by a set of ideal Hertzian dipoles. The case, when dipoles are located along a straight line, which is parallel to measurement line of electric field, and when their electric moments are perpendicular to the measurement plane, is considered. Algorithm, based on the conjugate gradient method, is proposed. Numerical simulations are presented.
  • Keywords
    antenna theory; conjugate gradient methods; electric fields; electric moments; inverse problems; Hertzian dipoles; additive noise; conjugate gradient method; conjugate space; electric field; electric moments; inverse problem; measurement line; minimum spatial extent; near-field measurement data; radiation-sources restoration; Antenna measurements; Cost function; Distortion measurement; Electric fields; Inverse problems; Noise; Electric dipole; inverse problem; regularization; restoration; spatial extent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical Methods in Electromagnetic Theory (MMET), 2014 International Conference on
  • Conference_Location
    Dnipropetrovsk
  • Print_ISBN
    978-1-4799-6863-3
  • Type

    conf

  • DOI
    10.1109/MMET.2014.6928715
  • Filename
    6928715