• DocumentCode
    611540
  • Title

    A simple method for optimal antenna array thinning using a broadside MaxGain beamformer

  • Author

    Bencivenni, C. ; Ivashina, M.V. ; Maaskant, R.

  • Author_Institution
    Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    1799
  • Lastpage
    1802
  • Abstract
    A simple and effective method for optimal antenna array thinning employing a broadside-scanned maximum gain beamformer is presented. Starting from a fully populated λ/2-spaced regular lattice, the array is thinned by progressively “turning off” the element(s) with the lowest weight(s) of the weight vector realizing maximum gain. The accuracy and effectiveness of the method is validated against a rigorous combinatorial search method that can be used to find the optimal irregular array configuration solution in small to moderate-sized arrays. Furthermore, to evaluate the robustness of the proposed approach, the effects of beam steering have been investigated for linear arrays consisting of 10-40 antenna elements as well. Good results can be obtained for close to broadside scanned arrays, which is of importance for the directly radiating arrays that are currently being considered as modern satellite systems.
  • Keywords
    antenna arrays; array signal processing; combinatorial mathematics; satellite antennas; satellite communication; search problems; broadside MaxGain beamformer; broadside scanned maximum gain beamformer; combinatorial search method; moderate sized arrays; modern satellite systems; optimal antenna array thinning; optimal irregular array configuration; simple method; Arrays; Europe; Linear antenna arrays; Vectors; array configuration optimization; array design; beamforming; signal processing; sparse arrays; thinning;
  • 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
    6546596