• DocumentCode
    1112176
  • Title

    Multiple Support Vector Regression for Antenna Array Characterization and Synthesis

  • Author

    Ayestarán, Rafael González ; Campillo, María Fernanda ; Las-Heras, Fernando

  • Author_Institution
    Univ. de Oviedo, Gijon
  • Volume
    55
  • Issue
    9
  • fYear
    2007
  • Firstpage
    2495
  • Lastpage
    2501
  • Abstract
    The support vector regression framework is proposed as the basis for a new antenna array characterization technique able to model radiating structures including all the coupling effects between the elements of the array from experimental data. The obtained model can then be used to solve practical synthesis problems with high accuracy and using an appropriate cost function for template-based specification handling. A design example is presented to show the efficiency of the proposed method.
  • Keywords
    antenna arrays; antenna radiation patterns; regression analysis; antenna array characterization; model radiating structures; multiple support vector regression; template-based specification handling; Antenna arrays; Antenna feeds; Antenna radiation patterns; Cost function; Digital filters; Machine learning; Matrix decomposition; Numerical models; Pattern analysis; Risk management; Antenna arrays; antenna pattern synthesis; support vector regression;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2007.904077
  • Filename
    4298164