A new Hopfield Neural Network multiuser detector is proposed. According to the corresponding relation between the power function of Hopfield neural network and the likelihood function of maximum posterior detective probablilityfor optimum multiuser detector
a discrete Hopfield neural network multiuser
detector is constructed. It is shown that the detector complexity is lower than that of optimal detector
and precedes conventional detector in elimlnating multi-user interference and near-far reslstance.