Wu, Yik Chung (2005-08). New advances in symbol timing synchronization of single-carrier, multi-carrier and space-time multiple-antenna systems. Doctoral Dissertation. Thesis uri icon


  • In this dissertation, the problem of symbol timing synchronization for the following three different communication systems is studied: 1) conventional single-carrier
    transmissions with single antenna in both transmitter and receiver; 2) single-carrier
    transmissions with multiple antennas at both transmitter and receiver; and 3) orthogonal frequency division multiplexing (OFDM) based IEEE 802.11a wireless local
    area networks (WLANs).
    For conventional single-carrier, single-antenna systems, a general feedforward
    symbol-timing estimation framework is developed based on the conditional maximum
    likelihood principle. The proposed algorithm is applied to linear modulations and two
    commonly used continuous phase modulations: MSK and GMSK. The performance
    of the proposed estimator is analyzed analytically and via simulations.
    Moreover, using the newly developed general estimation framework, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are cast into a unified framework. The finite sample mean-square
    error expression for this class of estimators is established and the best estimators are
    determined. Simulation results are presented to corroborate the analytical results.
    Moving on to single-carrier, multiple-antenna systems, we present two algorithms. The first algorithm is based on a heuristic argument and it improves the
    optimum sample selection algorithm by Naguib et al. so that accurate timing estimates can be obtained even if the oversampling ratio is small. The performance of
    the proposed algorithm is analyzed both analytically and via simulations.
    The second algorithm is based on the maximum likelihood principle. The data
    aided (DA) and non-data aided (NDA) ML symbol timing estimators and their cor-
    responding CCRB and MCRB in MIMO correlated ??at-fading channels are derived.
    It is shown that the improved algorithm developed based on the heuristic argument
    is just a special case of the DA ML estimator. Simulation results under different
    operating conditions are given to assess and compare the performances of the DA
    and NDA ML estimators with respect to their corresponding CCRBs and MCRBs.
    In the last part of this dissertation, the ML timing synchronizer for IEEE 802.11a
    WLANs on frequency-selective fading channels is developed. The proposed algorithm
    is compared with four of the most representative timing synchronization algorithms,
    one specically designed for IEEE 802.11a WLANs and three other algorithms designed for general OFDM frame synchronization.

publication date

  • August 2005