• DocumentCode
    611629
  • Title

    Innovative GA-based strategy for polyomino tiling in phased array design

  • Author

    Chirikov, R. ; Rocca, Paolo ; Manica, Luca ; Santarelli, S. ; Mailloux, R.J. ; Massa, A.

  • Author_Institution
    ELEDIA Res. Center @ DISI, Univ. of Trento, Trento, Italy
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    2216
  • Lastpage
    2219
  • Abstract
    This paper presents an innovative strategy to the design of sub-arrayed planar phased arrays with controlled sidelobe level on a wideband of operation. The tiling of the aperture is performed using sub-arrays of irregular shapes (polyominoes) and the optimization of the sub-array structure is carried out by means of ad-hoc procedure, named “snowball” algorithm, based on a binary Genetic Algorithm (GA). A set of representative examples is reported and discussed also in a comparative fashion with the solutions synthesized using previously proposed methods.
  • Keywords
    antenna phased arrays; genetic algorithms; planar antenna arrays; ad-hoc procedure; aperture tiling; binary GA; binary genetic algorithm; controlled sidelobe level; innovative GA-based strategy; polyomino tiling; snowball algorithm; subarray structure optimization; subarrayed planar phased array design; Apertures; Arrays; Biological cells; Genetic algorithms; Optimization; Phased arrays; genetic algorithm; optimization; phased antenna array; sub-array tiling; wideband antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2013 7th European Conference on
  • Conference_Location
    Gothenburg
  • Print_ISBN
    978-1-4673-2187-7
  • Electronic_ISBN
    978-88-907018-1-8
  • Type

    conf

  • Filename
    6546685