• DocumentCode
    2664769
  • Title

    Spherical ESPRIT-based 2-D direction finding with different distributions of a spherical array antenna

  • Author

    Xie, JuLan ; Marantis, Leonidas ; Brennan, Paul V.

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2009
  • fDate
    16-17 Nov. 2009
  • Firstpage
    661
  • Lastpage
    664
  • Abstract
    Some of the basic applications to benefit from the omni-directional beam steering capabilities of spherical array antennas are to be found in LEO satellite communications. Various direction finding methods can be applied using a spherical array antenna in order to estimate the direction of a signal and locate the satellite. The spherical ESPRIT algorithm is one of the main DOA estimation algorithms used with spherical arrays. It is based on the spherical phase mode excitation and it can estimate the elevation and azimuth direction angles of a wave incident on the spherical array. In this paper, the spherical ESPRIT algorithm is applied to three different distributions of a spherical array antenna (t-design distribution, the Leopardi´s algorithm distribution and the spiral distribution), demonstrating low computational complexity. The simulated ESPRIT performances for the three distributions are presented, compared and discussed.
  • Keywords
    antenna arrays; beam steering; computational complexity; radio direction-finding; satellite communication; 2D direction finding; LEO satellite communications; computational complexity; omni-directional beam steering; spherical ESPRIT; spherical array antenna; Antenna arrays; Azimuth; Beam steering; Direction of arrival estimation; Directive antennas; Low earth orbit satellites; Phase estimation; Phased arrays; Satellite antennas; Satellite communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas & Propagation Conference, 2009. LAPC 2009. Loughborough
  • Conference_Location
    Loughborough
  • Print_ISBN
    978-1-4244-2720-8
  • Electronic_ISBN
    978-1-4244-2721-5
  • Type

    conf

  • DOI
    10.1109/LAPC.2009.5352524
  • Filename
    5352524