• DocumentCode
    1749378
  • Title

    Decoupled estimation of DOA and coherence loss for multiple sources in uncertain propagation environments

  • Author

    Ringelstein, Jörg ; Schmitt, Lars ; Bhome, J.F.

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Sci., Ruhr-Univ., Bochum, Germany
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2997
  • Abstract
    The problem of direction of arrival (DOA) estimation of multiple sources is addressed considering possible coherence loss along the impinging wavefronts. The loss results from wave propagation through a fluctuating medium and leads to a decreasing signal correlation from sensor to sensor. Two new algorithms are proposed that are significantly less computationally complex than the well known covariance matching (CM) approach. Furthermore a polynomial approximation of the coherence loss parameters is introduced, which pen-nits a decoupling of the DOA estimation from the estimation of all other parameters. The proposed algorithms and theoretical results are verified by numerical examples
  • Keywords
    array signal processing; correlation methods; covariance matrices; direction-of-arrival estimation; least squares approximations; polynomial approximation; DOA estimation; coherence loss estimation; coherence loss parameters; covariance matching; decoupled estimation; direction of arrival estimation; fluctuating medium; least-squares estimator; multiple sources; polynomial approximation; sensor array; signal correlation; uncertain propagation environments; uniform linear array; wave propagation; Acoustic propagation; Coherence; Covariance matrix; Direction of arrival estimation; Information science; Polynomials; Propagation losses; Sensor arrays; Underwater acoustics; Underwater communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940280
  • Filename
    940280