Enhanced Decision-Directed Channel Estimation of Time-Varying Flat MIMO Channels

Abstract

This paper presents a combined pilot-assisted and decision-directed approach to estimate a Rayleigh flat fading MIMO channel. The suggested algorithm is very attractive in comparison to other tracking techniques due to its simplicity and numerical robustness. We introduce a moving-average filter to suppress the noise and show that optimizing the filter parameters such as length and initialization coefficients leads to significant performance improvement. Simulation results for different Doppler frequencies show the effectiveness of the proposed scheme.