Channel estimation based on turbo equalization in massive MIMO systems

This paper proposes an iterative channel estimation based on turbo equalization in uplink massive multiple-input multiple-output (MIMO) systems. The turbo receiver first uses a matched detector and then linear minimum mean square error (MMSE) equalization is performed. Thanks to the recovered symbols of users in the local cell, a matched estimation after intra-cell interference cancellation is proposed without requiring much computation. Simulation results confirm the superiority of the proposed estimator over the existing pilot-based and data-aided channel estimators.