• DocumentCode
    1038178
  • Title

    Training-based time-delay estimation for CPM signals over time-selective fading channels

  • Author

    Dabora, Ron ; Goldberg, Jason ; Messer, Hagit

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    52
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    1169
  • Lastpage
    1177
  • Abstract
    In this paper, we consider training-based symbol timing synchronization for continuous phase modulation over channels subject to flat, Rayleigh fading. A high signal-to-noise-ratio maximum-likelihood estimator based on a simplified channel correlation model is derived. The main objective is to reduce algorithm complexity to a single-dimensional search on the delay parameter, similar to that of the static-channel (slow fading) estimator. The asymptotic behavior of the algorithm is evaluated, and comparisons are made with the Cramer-Rao lower bound for the problem. Simulation results demonstrate highly improved performance over the conventional, static-channel delay estimator.
  • Keywords
    Rayleigh channels; channel estimation; computational complexity; continuous phase modulation; correlation methods; delay estimation; maximum likelihood estimation; synchronisation; CPM signals; channel correlation model; complexity reduction; continuous phase modulation; flat Rayleigh fading channels; maximum-likelihood estimator; signal-to-noise ratio; slow fading; static-channel estimator; time synchronisation; time-selective fading channels; training-based time-delay estimation; AWGN; Continuous phase modulation; Delay estimation; Fading; Maximum likelihood estimation; Phase estimation; Phase modulation; Rayleigh channels; Synchronization; Timing; CPM; Continuous phase modulation; ML; estimation; fading channels; maximum-likelihood; synchronization; timing;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2004.831340
  • Filename
    1315918