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On parameter estimation of ricean fading mimo channel: correlated signals and spatial scattering.
| Content Provider | CiteSeerX |
|---|---|
| Author | Tau, Bamrung Kaiser, Sieskul Thomas |
| Abstract | Abstract — 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. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Spatial Scattering Parameter Estimation Ricean Fading Mimo Channel Wireless Communication Second-order Statistic Alternative Expression Estimation Possibility Efficient Estimator Parametric Framework Non-asymptotic Region Ricean Fading Weighted Least Square Criterion Generalized Rice Factor Large Number Important Parameter Nominal Direction Array Covariance Matrix Temporal Snapshot Cramer-rao Bound Numerical Simulation Mimo Channel Parameter Angular Spread Reduced Parameterizations Explicit Form Asymptotic Maximum Likelihood Estimator |
| Content Type | Text |
| Resource Type | Article |
