Iterative space-time soft detection in time-varying multiaccess wireless channels

This paper introduces an iterative space-time soft estimator (ISSE) that jointly performs linear channel estimation and soft data detection in time-varying multiple-input multiple-output (MIMO) channels, both according to the minimum mean squared error (MMSE) criterion. We introduce a scalar approximation of the channel autocovariance function that relies on the statistical homogeneity of the multipath scattering and allows to derive a globally-convergent burst-adaptive algorithm to estimate and track the channel statistics.