• DocumentCode
    1971306
  • Title

    Fast symbol timing recovery techniques for flexible PAM and QAM modems

  • Author

    Vo, Nguyen Doan ; Le-Ngoc, Tho

  • Author_Institution
    Dept. of ECE, McGill Univ., Montreal, Que., Canada
  • Volume
    3
  • fYear
    2003
  • fDate
    4-7 May 2003
  • Firstpage
    1959
  • Abstract
    A fast symbol timing recovery (STR) scheme suitable for flexible-symbol-rate, burst-mode M-ary PAM and QAM demodulators used in point-to-multipoint broadband access systems is proposed. The maximum-likelihood (ML) estimation principle is used to derive a feed-forward STR strategy to achieve fast and accurate derivation of the optimum timing instant with a very short training preamble for applications requiring short packet transmission. In addition, the signal sample at the optimum timing instant is reproduced by interpolation. Analysis to derive the ML-based timing estimation algorithm is presented. Analytical models are used to evaluate the performance of the timing estimation and interpolated signal sample in the additive white Gaussian noise (AWGN) environment. Simulation is also used to confirm the analytical results. Examples of sub-optimal interpolators are exploited and compared.
  • Keywords
    AWGN; broadband networks; interpolation; maximum likelihood estimation; modems; pulse amplitude modulation; quadrature amplitude modulation; radio receivers; synchronisation; QAM modems; additive white Gaussian noise; all-digital timing recovery; burst-mode M-ary PAM; fast symbol timing recovery scheme; flexible-symbol-rate; interpolation; maximum-likelihood estimation principle; oversampling; point-to-multipoint broadband access systems; timing estimation; AWGN; Algorithm design and analysis; Analytical models; Demodulation; Feedforward systems; Interpolation; Maximum likelihood estimation; Modems; Quadrature amplitude modulation; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-7781-8
  • Type

    conf

  • DOI
    10.1109/CCECE.2003.1226298
  • Filename
    1226298