• DocumentCode
    1757446
  • Title

    Feature Space Analysis of Modulation Classification Using Very High-Order Statistics

  • Author

    Wei Su

  • Author_Institution
    U.S. Army-CERDEC, Aberdeen Proving Ground, MD, USA
  • Volume
    17
  • Issue
    9
  • fYear
    2013
  • fDate
    41518
  • Firstpage
    1688
  • Lastpage
    1691
  • Abstract
    This paper explains how higher-order statistics work in classifying a unknown modulation scheme, why the very high-order statistics are needed in recognizing a large variety of signals, and what features should be selected in developing an effective classifier. The categories and properties of moments are discussed.
  • Keywords
    cognitive radio; higher order statistics; modulation; signal classification; cognitive radio; effective classifier; feature space analysis; high-order statistics; moment property; unknown modulation classification scheme; Color; Constellation diagram; Fading; Quadrature amplitude modulation; Shape; Transforms; Modulation classification; cognitive radio; cumulants; high-order statistics; moments;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2013.080613.130070
  • Filename
    6584531
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1757446