Title :
Blind Equalization Algorithm based on Fuzzy Neural Network in QAM System
Author :
Fang, Shen ; Yunshan, Sun ; Liyi, Zhang ; Yanqin, Li ; He, Li
Author_Institution :
Tianjin Univ. of Commerce Tianjin, Tianjin
Abstract :
A new blind equalization algorithm based on fuzzy neural network classifier was proposed. It was applied in the QAM System. Channel estimation and fuzzy neural network classifier are combined to carry out blind equalization. The primary signal was attained by de-convolution. Judgment range of fuzzy neural network was adjusted dynamically by competition study algorithm, and then blind equalization was realized. Simulations illuminate that the new algorithm improves convergence speed and reduces residual error and BER (Bit Error Ratio).
Keywords :
blind equalisers; channel estimation; deconvolution; error analysis; fuzzy neural nets; quadrature amplitude modulation; telecommunication computing; BER; QAM system; bit error ratio; blind equalization algorithm; channel estimation; deconvolution; fuzzy neural network; residual error reduction; Blind equalizers; Fuzzy neural networks; Industrial electronics; Quadrature amplitude modulation;
Conference_Titel :
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0737-8
Electronic_ISBN :
978-1-4244-0737-8
DOI :
10.1109/ICIEA.2007.4318456
