• DocumentCode
    2653206
  • Title

    Robust direction finding

  • Author

    Vaccaro, Richard J. ; Owsley, Norman L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    7-10 Nov. 2004
  • Firstpage
    1958
  • Abstract
    This paper considers the problem of estimating directions of arrival (DOAs) from sensor-array data when the positions of the sensors are not precisely known. The proposed algorithm is an extension of a previously developed approach based on weighted subspace fitting. The new algorithm shows improved robustness with respect to sensor position perturbations, particularly when estimating the DOAs of weak sources. The robust algorithm treats the sensor position perturbations as unknown deterministic parameters and estimates them jointly with the DOAs.
  • Keywords
    array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; direction finding; directions of arrival estimation; sensor position perturbations; sensor-array data; unknown deterministic parameters; weighted subspace fitting; Additive noise; Array signal processing; Clustering algorithms; Cost function; Degradation; Direction of arrival estimation; Phased arrays; Robustness; Sensor arrays; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
  • Print_ISBN
    0-7803-8622-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2004.1399506
  • Filename
    1399506