| The multi-input multi-output (MIMO) channel model has been widely used in several military applications, especially in data transmission and diversity reception systems. In this
paper, we consider the problem of joint channel estimation and data detection for MIMO systems under quasi-static channels with known and unknown spatially correlated noise. We propose two computationally efficient iterative receivers based on space-alternating generalized expectation-maximization (SAGE) algorithm. Bit error rate (BER) performance of the Maximum Likelihood (ML) receivers with perfect channel state information (CSI) is simulated and compared with the BER performance of the proposed iterative receivers. The results show
that the proposed receivers exhibit near ML performance with a few iterations.
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