| Knowledge of the velocity of a mobile terminal is useful for a variety of radio resource management functions being contemplated for future wireless communications systems. Currently, the radial component of the velocity of a mobile terminal can be inferred from estimating the maximum Doppler fading bandwidth. Unfortunately, the practicality of current methods is limited since they require an estimate of the signal-to-noise ratio (SNR) of the link. In this thesis, novel autocorrelation function (ACF) based velocity estimators are proposed. These estimation methods are then extended to estimate mobile velocity without requiring knowledge of the SNR of the link. Monte-Carlo simulations of the proposed estimators are provided and compared to several existing methods.; After deriving the novel algorithms, we focus on approximate Cramer-Rao lower bounds of envelope-based and IQ-based estimators, under the assumption that the fading process can be approximated by the first-order Markov process.; Finally, the new estimation algorithms are applied to track a fading channel using a Kalman filter, and a performance analysis is also included. |
