• DocumentCode
    705910
  • Title

    Classification of qam signals for multicarrier systems

  • Author

    Edinger, Stefan ; Gaida, Markus ; Fliege, Norbert J.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Mannheim, Mannheim, Germany
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    464
  • Lastpage
    468
  • Abstract
    In this paper we highlight the benefit of automatic modulation classification (AMC) for quadrature amplitude modulation (QAM) constellations in the context of multicarrier transmission systems. Increasing computation power of multicarrier systems transceivers enables runtime adaptation of transmission parameters to cope with sudden changes of the noise conditions. AMC is a promising technique to verify that runtime adaptation was successful, and it can also be used in novel adaptation techniques. Using AMC, the modulation order for each subcarrier of the multicarrier system can be blindly detected, which reduces communication overhead during adaptation. In this work, we give an overview of existing AMC techniques, develop several novel low-complexity approaches and evaluate their performance.
  • Keywords
    quadrature amplitude modulation; radio transceivers; signal classification; AMC technique; QAM signal classification; automatic modulation classification; communication overhead; multicarrier system transceiver; multicarrier transmission system; noise condition; quadrature amplitude modulation; Constellation diagram; Europe; Quadrature amplitude modulation; Reliability; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2007 15th European
  • Conference_Location
    Poznan
  • Print_ISBN
    978-839-2134-04-6
  • Type

    conf

  • Filename
    7098846