Blind equalization algorithm based on forward neural network in QAM system

In this paper, an improved blind equalization algorithm based on multiple-layer forward neural network is proposed, and a new transfer function for the neural network is designed. The computer simulations show that the improved algorithm have faster convergence speed and smaller bit error rate than traditional forward neural network algorithm.