SNR-independent velocity estimation for mobile cellular communications systems

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 velocity of a mobile terminal can be inferred from estimating the maximum Doppler fading bandwidth. Unfortunately, the practicality of current methods are limited since they require an estimate of the signal-to-noise ratio (SNR) of the link. In this paper, we propose two novel autocorrelation function (ACF) based velocity estimators. These estimation methods are then extended to estimate mobile velocity without requiring knowledge of the SNR of the link. Monte-Carlo simulation of the proposed estimators are provided and compared to that of Sampath and Holtzman [1].