Abstract
The influence of momentum term to blind equalization algorithm was analyzed in this paper. A new neural network blind equalization algorithm based on variable momentum factor was proposed, which adopted the non-linear function of mean square error as the variable momentum factor. The simulation shows that the new algorithm has faster convergence rate, smaller state residual error and lower bit error rate.
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