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.
Original language | English |
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Title of host publication | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Volume | 4 |
Publisher | IEEE |
Publication date | 2006 |
ISBN (Print) | 1-4244-0469-X |
DOIs | |
Publication status | Published - 2006 |
Event | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing - Toulouse, France Duration: 14 May 2006 → 19 May 2006 Conference number: 31 |
Conference
Conference | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing |
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Number | 31 |
Country/Territory | France |
City | Toulouse |
Period | 14/05/2006 → 19/05/2006 |