• DocumentCode
    356254
  • Title

    Improving DOA estimation methods using a priori knowledge about the sources location

  • Author

    Colares, Ricardo F. ; Lopes, Amauri

  • Author_Institution
    Dept. of Commun., Campinas Univ., Brazil
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    989
  • Abstract
    The linear prediction technique applied to a sensor array can provide useful information about the source´s location. A simple relation between the minimum-norm solution for the optimum filter and the source´s direction is derived. Direction of arrival (DOA) estimation methods can use this information to improve its resolution capability. An algorithm applied to the two closely spaced sources case is given to show the improvement achieved. In addition, a subspace-based approach to the use of a priori information about the source´s direction is presented
  • Keywords
    array signal processing; direction-of-arrival estimation; filtering theory; prediction theory; DOA estimation methods; direction of arrival estimation; linear prediction technique; minimum-norm solution; optimum filter; resolution capability; sensor array; source location; subspace-based approach; Direction of arrival estimation; Frequency estimation; Least squares approximation; Log periodic antennas; Nonlinear filters; Parameter estimation; Radar; Seismology; Sensor arrays; Sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. 42nd Midwest Symposium on
  • Conference_Location
    Las Cruces, NM
  • Print_ISBN
    0-7803-5491-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1999.867801
  • Filename
    867801