• DocumentCode
    3382249
  • Title

    Fourth-order cumulant structure forcing: application to blind array processing

  • Author

    Cardoso, Jean-François

  • Author_Institution
    Telecom Paris, France
  • fYear
    1992
  • fDate
    7-9 Oct 1992
  • Firstpage
    136
  • Lastpage
    139
  • Abstract
    In blind array processing, the array manifold is unknown but, under the signal independence assumption, the signal parameters can be estimated by recourse to higher-order information. The author considers the 4th-order cumulant tensor and shows that sample cumulant enhancement based on rank and symmetry properties yield cumulant estimates with exact theoretical structure. Any identification procedure based on enhancement cumulants is then equivalent to cumulant matching, bypassing the need for initialization and optimization
  • Keywords
    array signal processing; parameter estimation; statistical analysis; tensors; blind array processing; cumulant matching; fourth-order cumulant structure forcing; higher order statistics; identification procedure; parameter estimation; rank; sample cumulant enhancement; signal independence; symmetry; Additive noise; Array signal processing; Data models; Higher order statistics; Narrowband; Parameter estimation; Signal processing; Tensile stress; Vectors; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0508-6
  • Type

    conf

  • DOI
    10.1109/SSAP.1992.246830
  • Filename
    246830