DocumentCode
2179185
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
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
1087
Lastpage
1090
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Zhejiang
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6066679
Filename
6066679
Link To Document