Study on Fuzzy Neural Network Classifier Blind Equalization Algorithm

As a key technology in the digital communication system, blind equalization algorithm based on fuzzy neural network classifier is proposed. The algorithm overcomes bad judgment error. Channel estimation algorithm and fuzzy neural network classifier were combined to carry out equalization. The primary signal was attained by de-convolution. Judgment range of fuzzy neural network was adjusted dynamically by competition study algorithm, and then blind equalization judgment was realized. The algorithm reduces judgment error and bit-error ratio. The validity is approved by simulation