• DocumentCode
    241242
  • Title

    A tracking algorithm for the eigenvectors calculated with characteristic mode analysis

  • Author

    Ludick, D.J. ; Jakobus, Ulrich ; Vogel, M.

  • fYear
    2014
  • fDate
    6-11 April 2014
  • Firstpage
    569
  • Lastpage
    572
  • Abstract
    Characteristic mode analysis (CMA) is a useful design tool that enables antenna designers to follow a nonbrute force approach of systematically extracting the radiating properties of a structure. These properties are quantified with CMA in the form of eigenvalues and eigenvectors, i.e., the solutions of a generalised eigenvalue equation that is formulated from the Method-of-Moments (MoM) impedance matrix. One particular challenge to CMA, however, is the manner in which quantities such as eigenvalues are plotted as a function of frequency. At each discrete frequency sample, the eigenvalues are sorted according to modal significance, i.e., based on the efficiency with which they radiate. At higher frequencies, the ordering of modes may differ from that obtained at lower frequencies. To mitigate this problem, we have developed a tracking algorithm to keep the ordering of modes as consistent as possible over frequency.
  • Keywords
    antenna radiation patterns; antenna theory; eigenvalues and eigenfunctions; matrix algebra; method of moments; CMA; characteristic mode analysis; discrete frequency sample; eigenvectors; frequency function; generalised eigenvalue equation; method-of-moments impedance matrix; nonbrute force approach; radiating properties; tracking algorithm; Algorithm design and analysis; Antennas; Correlation; Eigenvalues and eigenfunctions; Geometry; Method of moments; Characteristic Mode Analysis; Method-of-Moments; characteristic mode tracking; eigenvalues; eigenvectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2014 8th European Conference on
  • Conference_Location
    The Hague
  • Type

    conf

  • DOI
    10.1109/EuCAP.2014.6901820
  • Filename
    6901820