Bayesian Channel Estimation for Doubly Correlated MIMO Systems

Authors: A. Scherb, K.-D. Kammeyer
Abstract: In this paper we derive a Bayesian estimator for doubly correlated MIMO channels. The Bayesian estimator has clearly superior normalized mean squared error performance compared to parametric approaches especially when the channel is strongly correlated. However, since the computational costs may exceed practical limits we present a class of fix point algorithms significantly reducing the numerical effort. The convergence behavior of the fixed point algorithm is examined and a regularization is proposed in order to guarantee general convergence.
Document type: Conference Paper
Publication: Vienna, Austria, 26. - 27. February 2007
Conference: International ITG/IEEE Workshop on Smart Antennas (WSA 07)
Index: 275
WSA_2007_scherb.pdf137 KB
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