Estimating statistical properties of MIMO Rician fading channels

We propose maximum likelihood (ML) methods for estimating the mean and covariance parameters of multi-input multi-output (MIMO) Rician fading channels. We consider both correlated and independent fading scenarios, and derive computationally efficient algorithms for a practically important special case in which the covariance matrix of the transmitted signal is constant. Numerical simulations demonstrate the performance of the proposed methods.