Reference : Training-Based Bayesian MIMO Channel and Channel Norm Estimation
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/7580
Training-Based Bayesian MIMO Channel and Channel Norm Estimation
English
Björnson, Emil [> >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2009
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
IEEE
2701-2704
Yes
International
978-1-4244-2353-8
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
19-24 April 2009
Taipei
Taiwan
[en] Training-based estimation of channel state information in multi-antenna systems is analyzed herein. Closed-form expressions for the general Bayesian minimum mean square error (MMSE) estimators of the channel matrix and the squared channel norm are derived in a Rayleigh fading environment with known statistics at the receiver side. When the second-order channel statistics are available also at the transmitter, this information can be exploited in the training sequence design to improve the performance. Herein, mean square error (MSE) minimizing training sequences are considered. The structure of the general solution is developed, with explicit expressions at high and low SNRs and in the special case of uncorrelated receive antennas. The optimal length of the training sequence is equal or smaller than the number of transmit antennas.
Others
http://hdl.handle.net/10993/7580
10.1109/ICASSP.2009.4960180

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