A Fuzzy-ARTMAP Equalizer for Compensating the Nonlinearity of Satellite Communication Channel

  • Lee, Jung-Sik (Dept.of Electronics Information Engineering, Kunsan National University)
  • 발행 : 2001.08.01

초록

In this paper, fuzzy-ARTMAP neural network is applied for compensating the nonlinearity of satellite communication channel. The fuzzy-ARTMAP is made of using fuzzy logic and ART neural network. By a match tracking process with vigilance parameter, fuzzy ARTMAP neural network achieves a minimax learning rule that minimizes predictive error and maximizes generalization. Thus, the system automatically learns a minimal number of recognition categories, or hidden units, to meet accuracy criteria. Simulation studies are performed over satellite nonlinear channels. The performance of proposed fuzzy-ARTMAP equalizer is compared with MLP-basis equalizers.

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