On Parameter Estimation of Ricean Fading MIMO Channel: Correlated Signals and Spatial Scattering

The purpose of this paper is to account for estimating the MIMO channel parameters in the presence of stochastically correlated signals, spatial scattering and Ricean fading. A parametric framework based on the second-order statistic is developed herein. As manipulated a few of reduced parameterizations, we derive an explicit form of the array covariance matrix, an alternative expression of the Cramer-Rao bound (CRB), and two asymptotically efficient estimators. Numerical simulation is conducted to demonstrate the estimation possibility of three important parameters in wireless communication, such as the nominal direction, the angular spread and the generalized Rice factor. It appears that for a large number of temporal snapshots, the performance of both estimators can attain the CRB, while the asymptotic maximum likelihood estimator outperforms the weighted least squares criterion in non-asymptotic region