• DocumentCode
    2530397
  • Title

    Digital modulation identification by wavelet analysis

  • Author

    Chen, Jian ; Kuo, Yonghong ; Li, Jiandong ; Fu, Fenglin ; Ma, Yubao

  • Author_Institution
    Nat. Key Lab., Xidian Univ., Xi´´an, China
  • fYear
    2005
  • fDate
    16-18 Aug. 2005
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    There is a need to determine the modulation type of an incoming signal. This paper proposes the use of the wavelet transform (WT) for modulation identification of digital signals without requiring any priori knowledge. The identifier consists of inter-class and intra-class identification. Different features have been used for different signals to increase the number of identification types and improve the processing rate. The performance of correct identification is increased too.
  • Keywords
    digital signals; modulation; wavelet transforms; digital modulation identification; digital signal; inter-class identification; intra-class identification; wavelet analysis; Binary phase shift keying; Continuous wavelet transforms; Digital modulation; Feature extraction; Frequency domain analysis; Low pass filters; Quadrature phase shift keying; Signal processing; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Multimedia Applications, 2005. Sixth International Conference on
  • Print_ISBN
    0-7695-2358-7
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2005.23
  • Filename
    1540699