| Paper: | SPCOM-P6.9 | ||
| Session: | Channel Estimation & Equalization I | ||
| Time: | Wednesday, May 17, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communication: MIMO channel estimation and equalization | ||
| Title: | On Data and Parameter Estimation using the Variational Bayesian EM-algorithm for Block-fading Frequency-selective MIMO Channels | ||
| Authors: | Lars P. B. Christensen, Jan Larsen, Technical University of Denmark, Denmark | ||
| Abstract: | A general Variational Bayesian framework for iterative data and parameter estimation for coherent detection is introduced as a generalization of the EM-algorithm. Explicit solutions are given for MIMO channel estimation with Gaussian prior and noise covariance estimation with inverse-Wishart prior. Simulation of a GSM-like system provides empirical proof that the VBEM-algorithm is able to provide better performance than the EM-algorithm. However, if the posterior distribution is highly peaked, the VBEM-algorithm approaches the EM-algorithm and the gain disappears. The potential gain is therefore greatest in systems with a small amount of observations compared to the number of parameters to be estimated. | ||
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