• DocumentCode
    2148851
  • Title

    Direction-of-arrival estimation using acoustic vector sensors in the presence of noise

  • Author

    Levin, Dovid ; Gannot, Sharon ; Habets, Emanuël A P

  • Author_Institution
    Sch. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    105
  • Lastpage
    108
  • Abstract
    A vector-sensor consisting of a monopole sensor collocated with orthogonally oriented dipole sensors can be used for direction-of arrival (DOA) estimation. A method is proposed to estimate the DOA based on the direction of maximum power. Algorithms mentioned in earlier works are shown to be special cases of the proposed method. An iterative algorithm based on the principal of gradient ascent is presented for the solution of the maximum power problem. The proposed maximum-power method is shown to approach the Cramer-Rao lower bound (CRLB) with a suitable choice of parameter.
  • Keywords
    acoustic signal processing; direction-of-arrival estimation; gradient methods; sensors; Cramer-Rao lower bound; DOA estimation; acoustic vector sensor; direction-of-arrival estimation; gradient ascent; iterative algorithm; maximum power direction; maximum power problem; maximum-power method; monopole sensor; noise; orthogonally oriented dipole sensor; Acoustics; Approximation algorithms; Direction of arrival estimation; Estimation; Noise; Receivers; Sensors; Cramér-Rao lower bound; DOA estimation; acoustic vector-sensors; angular error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946339
  • Filename
    5946339