Title :
Robust linear MIMO receivers: a minimum error-rate approach
Author_Institution :
Dept. of Informatics, Univ. of Oslo, Norway
fDate :
11/1/2003 12:00:00 AM
Abstract :
This paper looks at the linear reception of spatially multiplexed signals across MIMO channels. We address the problem of robustness in the presence of detrimental effects such as correlation and Ricean components. We consider the error-rate performance of MIMO linear filters as these can be used in purely linear receivers or as part of each stage in successive interference canceling (SIC) receivers. We know from multiuser detection theory that minimum error-rate (MER) linear receivers significantly outperform minimum mean-square error (MMSE) receivers when correlation is high; however, no direct method exist to design the MER receiver simply. We derive a scheme allowing a closed-form approximate solution to this problem. The solution is a good approximation to the true MER receiver upon fulfillment of a certain, easily checkable, channel-related condition. The algorithms are derived first for the two-input many-output case. A generalized scheme is provided for the case of arbitrary number of inputs and outputs. The performance gain compared with that MMSE is significant and evaluated for various correlated and Ricean channels and transmit power allocation strategies.
Keywords :
MIMO systems; Rician channels; correlation theory; interference suppression; multiplexing; MIMO channels; Rician components; channel-related condition; closed-form approximate solution; correlation; error-rate performance; linear filters; linear reception; minimum error-rate approach; purely linear receivers; robust linear MIMO receivers; spatially multiplexed signals; successive interference canceling; transmit power allocation strategies; two-input many-output case; Degradation; Design methodology; Interference cancellation; MIMO; Multiuser detection; Nonlinear filters; Robustness; Signal processing algorithms; Silicon carbide; Transmitting antennas;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2003.818160