The blind equalization algorithm based on the T-S fuzzy neural network controller
Xiaoqin Zhang, Liyi Zhang · 2011
In this paper, a new blind equalization algorithm based on the T-S fuzzy neural network controller is proposed. CMA adopts fixed step-size, which affects the performance of algorithm. The T-S fuzzy neural network is introduced to adjust the step-size of blind equalization. The structure and state functions of the T-S fuzzy neural network controller is provided in this paper. The cost function is proposed, and the iteration formulas of parameters are derived. Results of the simulation verify the effectiveness of the proposed algorithm.