Title :
The blind equalization algorithm based on the T-S fuzzy neural network controller
Author :
Zhang, Xiaoqin ; Zhang, Liyi
Author_Institution :
Sch. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China
Abstract :
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.
Keywords :
blind equalisers; fuzzy neural nets; neurocontrollers; telecommunication control; CMA fixed step-size; T-S fuzzy neural network controller; blind equalization algorithm; cost function; parameter iteration formula; Bit error rate; Blind equalizers; Convergence; Educational institutions; Fuzzy control; Fuzzy neural networks; Signal processing algorithms; blind equalization; controller; fuzzy neural network; step-size;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066679
