Study On Fuzzy Neural Network Classifier Blind Equalization Algorithm Based On Channel Estimation

Blind equalization is the key technology to overcome the inter-symbol interference (ISI) in digital communication systems. It is a new adaptive technology without resorting to a training sequence, which only utilizes the prior information of transmitted signals to equalize the channel character. The traditional equalizer utilizes fixed determining level, as a result, it has a high determining error. Fuzzy neural networks combine the virtues between neural networks and fuzzy theory respectively. Fuzzy neural networks can quantificationally describe uncertain .information, possess highly supernal identification precision. And they effectively deduce determining error.The major contribution of this paper is summarized as follow:(1) This paper simply formulizes the in being neural network blind equalization algorithms and development, analyzes their characters. At the same time, it analyzes the application of fuzzy neural networks in the blind equalizer and the implement of blind channel estimation. This paper proposes some blind equalization algorithm principles and applying ways based on fuzzy neural networks.(2) In order to overcome disadvantages brought out the fixed level determination in former blind equalizers, a new blind algorithm based on...