• DocumentCode
    3583007
  • Title

    Unified formulation of closed-form estimators for blind source separation in complex instantaneous linear mixtures

  • Author

    Zarzoso, Vicente ; Nandi, Asoke K.

  • Author_Institution
    Signal Processing and Communications Group, Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool L69 3GJ, England, UK
  • fYear
    2000
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The blind separation of unknown independent source signals from sensor observations is addressed in environments of instantaneous linear mixtures. After pre-whitening the sensor data, the source extraction reduces to the identification of certain parameters defining a unitary transformation. This contribution develops the algebraic devices which allow us: 1) to provide a unified formulation of the closed-form estimators of the separation parameters in the complex-mixture scenario — typical of multi-user digital communications —, and 2) to disclose the remarkable parallelism existing between the real and the complex problem in the context of their analytic solutions.
  • Keywords
    Blind source separation; Digital communication; Maximum likelihood estimation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2000 10th European
  • Print_ISBN
    978-952-1504-43-3
  • Type

    conf

  • Filename
    7075510