• DocumentCode
    768406
  • Title

    Estimating 2-D DOA angles using nonlinear array configurations

  • Author

    Sakarya, F. Ayhan ; Hayes, Monson H.

  • Author_Institution
    Elektrik-Elektronik Fakultesi, Yildiz Teknik Univ., Istanbul, Turkey
  • Volume
    43
  • Issue
    9
  • fYear
    1995
  • fDate
    9/1/1995 12:00:00 AM
  • Firstpage
    2212
  • Lastpage
    2216
  • Abstract
    This paper modifies the direction-of-arrival matrix (DOAM) method for detecting 2-D direction-of-arrival (DOA) angles of narrowband far-field source signals using nonlinear array configurations. The key modification to the DOAM method is the replacement of the 1-D data model with a 2-D data model. The modified DOA matrix (MDOAM) method requires less computation, detects more sources with the same number of sensors, and removes the constraint on the spacing between subarrays
  • Keywords
    direction-of-arrival estimation; 1D data model; 2D DOA angles estimation; 2D data model; direction-of-arrival matrix method; narrowband far-field source signals; nonlinear array configurations; subarray spacing; Bonding; Direction of arrival estimation; Distribution functions; Entropy; Estimation theory; Nonlinear filters; Probability distribution; Signal processing; White noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.414789
  • Filename
    414789