• DocumentCode
    3347986
  • Title

    On MIMO instantaneous blind identification based on the exploitation of the time structure of signals using arbitrary-order cumulants

  • Author

    van de Laar, J.

  • Author_Institution
    Dept. of Electr. Eng., Technische Universiteit Eindhoven, Netherlands
  • Volume
    5
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    The paper presents a new and unifying view of multiple-input multiple-output instantaneous blind identification based on the main assumptions that the cross-cumulant functions of the source signals of some arbitrary fixed order vanish for all time tuples and that the source auto-cumulant functions of the same order are linearly independent. Hence, the time structure of the signals is exploited. The paper provides new insight into the algebraic and geometric structure of the problem, which is crucial for the development of solutions. The presented viewpoint is unifying in two senses. Firstly, the developed theory is general with respect to the considered order of the cumulants. Secondly, all types of statistical variability in the data, for example, the nonstationarity and the nonwhiteness, are incorporated into the problem in a unified manner.
  • Keywords
    MIMO systems; higher order statistics; identification; signal processing; DOA estimation; MIMO instantaneous blind identification; algebraic structure; arbitrary-order cumulants; direction of arrival estimation; geometric structure; instantaneous blind signal separation; mixed signals; multiple-input multiple-output identification; signal time structure; source auto-cumulant functions; time tuples; Biomedical engineering; Bismuth; Blind source separation; Character generation; Direction of arrival estimation; Higher order statistics; MIMO; Radar applications; Signal processing; Sonar applications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1327169
  • Filename
    1327169