• DocumentCode
    3490729
  • Title

    Blind Roll-Off Factor and Symbol Rate Estimation Using IFFT and Least Squares Estimator

  • Author

    Xu, Haiyuan ; Zhou, Yiyu ; Huang, ZhiTao

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    1052
  • Lastpage
    1055
  • Abstract
    To investigate the blind roll-off factor and symbol rate estimation of any linear digital modulation scheme, such as phase-shift keying (PSK) and quadrature amplitude modulation (QAM), an algorithm based on the inverse Fourier transform and the least squares estimator is proposed. First, the magnitude of the raised cosine pulse is provided by the inverse Fourier transform of the preprocessed power spectrum. The roll-off factor is then estimated based on the ratio of the second peak to the main peak of the magnitude. A coarse estimation of the symbol rate is extracted from the baseband shape. Based on the coarse estimation, a least squares estimator is used to improve the accuracy of the symbol rate estimation. Computer simulations show the efficiency of the proposed algorithm.
  • Keywords
    Fourier transforms; blind source separation; estimation theory; least squares approximations; modulation; blind roll-off factor; inverse Fourier transform; least squares estimator; linear digital modulation scheme; phase-shift keying; quadrature amplitude modulation; raised cosine pulse; symbol rate estimation; Amplitude estimation; Baseband; Computer simulation; Digital modulation; Fourier transforms; Least squares approximation; Phase estimation; Phase shift keying; Quadrature amplitude modulation; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.269
  • Filename
    4340044