Adaptive minimum error-rate filtering design: A review
Signal Processing
Adaptive conjugate gradient DFEs for wideband MIMO systems
IEEE Transactions on Signal Processing
Fast converging semi-blind space-time equalisation for dispersive QAM MIMO systems
IEEE Transactions on Wireless Communications
Semi-blind gradient-Newton CMA and SDD algorithm for MIMO space-time equalisation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Markov chain minimum bit error rate detection for multi-functional MIMO uplink
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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This paper proposes a space-time decision feedback equalization (ST-DFE) assisted multiuser detection (MUD) scheme for multiple receiver antenna aided space division multiple access systems. A minimum bit error rate (MBER) design is invoked for the MUD, which is shown to be capable of improving the achievable bit error rate performance and enhancing the attainable system capacity over that of the standard minimum mean square error (MMSE) design. An adaptive implementation of the MBER ST-DFE assisted MUD is proposed using a stochastic gradient-based least bit error rate algorithm, which is demonstrated to consistently outperform the classical least mean square (LMS) algorithm, while achieving a lower computational complexity than the LMS algorithm for the binary signalling scheme. Our simulation results demonstrate that the MBER ST-DFE assisted MUD is more robust to channel estimation errors as well as to potential error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE assisted MUD