Title :
Blind Equalization Algorithm based on Fuzzy Neural Network in Plural Number System
Author :
Sun, Yunshan ; Zhang, Liyi ; Li, Yanqin
Author_Institution :
Coll. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin
Abstract :
As a key technology of digital broadcast and TV, blind equalization overcomes inter-symbol interference to improve the effect of receiving signals. A new QAM blind equalization algorithm based on fuzzy neural network classifier was proposed. Simulation shows that the new algorithm improves convergence speed and reduces residual error and BER (bit error ratio).
Keywords :
blind equalisers; digital television; error statistics; fuzzy neural nets; intersymbol interference; quadrature amplitude modulation; telecommunication computing; BER; QAM blind equalization algorithm; bit error ratio; broadcast television technology; digital TV; digital broadcasting; fuzzy neural network; inter-symbol interference; plural number system; residual error; Blind equalizers; Broadcast technology; Delay; Educational institutions; Fuzzy neural networks; Fuzzy reasoning; Neural networks; Quadrature amplitude modulation; TV broadcasting; TV receivers; Blind equalization; Channel estimation; Classification algorithm; Fuzzy neural network;
Conference_Titel :
Communication Technology, 2006. ICCT '06. International Conference on
Conference_Location :
Guilin
Print_ISBN :
1-4244-0800-8
Electronic_ISBN :
1-4244-0801-6
DOI :
10.1109/ICCT.2006.342000
