• DocumentCode
    2307716
  • Title

    Comparative performance analysis of eight blind source separation methods on radiocommunications signals

  • Author

    Chevalier, Pascal ; Albera, Laurent ; Comon, Pierre ; Ferréol, Anne

  • Author_Institution
    Thales-Communications, Colombes, France
  • Volume
    1
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Lastpage
    278
  • Abstract
    For about two decades, many second order (SO) and fourth order (FO) blind methods have been developed to separate overdetermined mixtures of statistically independent narrowband (NB) sources. Besides, mainly to overcome some limitations of these methods, sixth order methods have been developed. Nevertheless, despite of this great number of methods, the performance of the latter for arbitrary electromagnetic sources are still almost unknown, which limits their use in operational contexts. The purpose of this paper is to fill the gap previously mentioned by presenting a comparative performance analysis of eight blind source separation (BSS) methods for arbitrary overdetermined mixtures of sources borrowed from the radiocommunications context, and to show off both the advantages and the drawbacks of these methods.
  • Keywords
    blind source separation; arbitrary overdetermined mixtures; blind source separation method; comparative performance analysis; radiocommunications signal; Blind source separation; Gaussian noise; Niobium; Performance analysis; Phase noise; Phased arrays; Sensor arrays; Source separation; Statistics; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1379913
  • Filename
    1379913