A performance bound for MIMO-OFDM channel estimation and prediction

Abstract

The performance of a mobile MIMO-OFDM system depends on the ability of the system to accurately account for the effects of the frequency-selective time-varying channel at every symbol time and at every frequency subcarrier. In this paper, a vector formulation of the Cramer-Rao bound (CRB) for biased estimators and for functions of parameters is used to find a lower bound on the estimation and prediction error of such a system. Numerical simulations demonstrate the benefits of multiple antennas for channel estimation and prediction and illustrate the impact of calibration errors on estimation performance when using parametric channel models.