Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Selecting an optimal set of transmit antennas for a low rank matrix channel
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Limited feedback precoding for spatial multiplexing systems using linear receivers
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Multi-input multi-output fading channel tracking and equalizationusing Kalman estimation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Limited feedback unitary precoding for spatial multiplexing systems
IEEE Transactions on Information Theory
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Precoded spatial multiplexing multiple-input multiple-output (MIMO) systems using limited feedback are mainly based on the notion of delay-free feedback channels. In this paper, we take into account the time varying nature of the channel, and consider the feedback delay problem. In order to reduce performance degradation of spatial multiplexing systems in the presence of feedback delay, we propose the use of a Kalman filter linear predictor at the receiver to provide the transmitter with the predicted channel state information, and hence, mitigate the effect of feedback delay. The performance of this method is assessed using computer simulation, and the obtained results for the proposed channel prediction scheme demonstrate improved bit error rate performance for time varying Rayleigh fading channels.