• DocumentCode
    1402925
  • Title

    Azimuth and elevation direction finding using arbitrary array geometries

  • Author

    Liu, Tsung-Hsien ; Mendel, Jerry M.

  • Author_Institution
    Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    46
  • Issue
    7
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    2061
  • Lastpage
    2065
  • Abstract
    An ESPRIT-based algorithm is proposed to estimate the azimuth and elevation angles of multiple independent sources. The algorithm uses cumulants and imposes no geometric constraint on the array. Only one third of the hardware is needed for our algorithm as compared with covariance-based two-dimensional (2-D) ESPRIT. Our algorithm can estimate azimuth and elevation angles of M-1 sources using M sensors. Simulation results show that for several array configurations, our algorithm works well
  • Keywords
    array signal processing; direction-of-arrival estimation; higher order statistics; DOA estimation; ESPRIT-based algorithm; VESPA; arbitrary array geometries; array signal processing; azimuth estimation; cumulants; direction finding; elevation estimation; multiple independent sources; sensor array; simulation results; Array signal processing; Azimuth; Biomedical signal processing; Direction of arrival estimation; Geometry; Hardware; Maximum likelihood estimation; Parameter estimation; Sensor arrays; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.700985
  • Filename
    700985