Adaptive minimum-BER decision feedback equalisers for binary signalling
Signal Processing
Adaptive minimum error-rate filtering design: A review
Signal Processing
Achievable sum rate of MIMO MMSE receivers: a general analytic framework
IEEE Transactions on Information Theory
Underwater acoustic communication channel simulation using parabolic equation
Proceedings of the Sixth ACM International Workshop on Underwater Networks
Adaptive minimum symbol-error rate equalization for quadrature-amplitude modulation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Intersymbol interference and error probability
IEEE Transactions on Information Theory
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The decision feedback equalizer (DFE) has been applied in underwater channel equalization and has been shown to have promising performance. Existing DFEs for underwater communication are mainly based on the minimum-mean-square-error (MMSE) criterion. In this paper we derive a new DFE based on the minimum-symbol-error rate (MSER) criterion. The problem is formulated as minimizing the norm between two subsequent adaptations. The MSER criterion is converted to the constraint of correct symbol detection. The resulting DFE has a simple structure, similar to the conventional LMS filter. Moreover, simulations show it significantly outperforms the MMSE based DFEs.