• DocumentCode
    1759496
  • Title

    Synthesis of Thinned Planar Circular and Square Arrays Using Density Tapering

  • Author

    Keizer, Will P. M. N.

  • Author_Institution
    TNO Phys. & Electron. Lab., The Hague, Netherlands
  • Volume
    62
  • Issue
    4
  • fYear
    2014
  • fDate
    41730
  • Firstpage
    1555
  • Lastpage
    1563
  • Abstract
    Two new hybrid density taper methods for designing thinned planar arrays are presented. Both methods make use of a model taper to allocate for a number of rings across the array aperture the amount of turned ON elements per ring. One method applies a modified version of the iterative Fourier transform (IFT) method to find the optimum turned ON element distribution for each ring to get a prescribed low sidelobe level. The second method gets suitable turned ON element locations by distributing these elements in a uniform random way over each ring. The purpose of the second method is to find the optimum model taper since it is computational faster than the first method. Using the model taper determined by the second method, the first method finds then the optimum locations of the turned ON element positions. Both new methods can deal with the synthesis of thinned planar arrays of any size, any aperture shape and any degree of thinning. A wide range of numerical examples covering very small up to extremely large arrays will demonstrate the effectiveness of the two proposed methods for both circular and square aperture shapes.
  • Keywords
    Fourier transforms; planar antenna arrays; density tapering; iterative Fourier transform method; model taper; optimum turned-on element distribution; sidelobe level; thinned planar array; thinned planar circular array; thinned square array; turned-on element locations; Array antennas; density taper; low sidelobes; thinned arrays;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2013.2267194
  • Filename
    6527342