Application of blind equalization algorithm based on fuzzy neural network in QAM

A blind equalization algorithm based on fuzzy neural network was proposed. Blind channel estimation and fuzzy neural network classifier were utilized to realize blind equalization. Firstly Blind channel estimation was used to identify the character of the channel. Signals were rebuilt by de-convolution, and the original judgment equipment was replaced by fuzzy neural network classifier. Simulations indicate that the novel algorithm improves convergence and bit error rate and so on.