Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Affine precoders for reliable communications
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
A Data-Bearing Approach for Pilot-Embedding Frameworks in Space-Time Coded MIMO Systems
IEEE Transactions on Signal Processing
Adaptive Channel Estimation Using Pilot-Embedded Data-Bearing Approach for MIMO-OFDM Systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimal designs for space-time linear precoders and decoders
IEEE Transactions on Signal Processing
On the effect of receiver estimation error upon channel mutual information
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimal training for MIMO frequency-selective fading channels
IEEE Transactions on Wireless Communications
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Superimposed training designs for spatially correlated MIMO-OFDM systems
IEEE Transactions on Wireless Communications
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A new affine precoding and decoding method for multiple-input multiple-output (MIMO) frequency-selective fading channels is proposed. The optimal design of the affine precoder consists of a linear precoder and a training sequence, which is superimposed on the linearly precoded data in an orthogonal manner. The channel is estimated independently of the data, while the training sequence is completely nulled out in the source data detection. Furthermore, the optimal power allocation between the data and training signals is also analytically derived. Simulation results show that the proposed method is significantly better than other affine precoding methods with regard to source detection performance and computational complexity.