DocumentCode :
1170363
Title :
TSK-based decision feedback equalizer using an evolutionary algorithm applied to QAM communication systems
Author :
Siu, S. ; Ho, Chia-Lu ; Lee, Chien-Min
Author_Institution :
Telecommun. Labs., Chunghwa Telecommun. Co. Ltd., Taoyuan County, Taiwan
Volume :
52
Issue :
9
fYear :
2005
Firstpage :
596
Lastpage :
600
Abstract :
A Takagi-Sugeno-Kang (TSK) fuzzy-based decision feedback equalizer (DFE) applied to detecting a quadrature-amplitude-modulation (QAM) signal is presented. The structure of a TSK fuzzy system may produce many local minimum of involved cost functions for detecting received signals. An evolutionary algorithm is adopted for the proposed TSK fuzzy equalizer to overcome the difficulty for locating global minimum in weight space. Results showed that the performance of the newly designed equalizer is much improved for DFEs with multilayer perceptron or least mean square scheme.
Keywords :
decision feedback equalisers; evolutionary computation; feedback; fuzzy systems; least mean squares methods; multilayer perceptrons; quadrature amplitude modulation; signal detection; QAM communication systems; TSK fuzzy system; TSK-based decision feedback equalizer; Takagi-Sugeno-Kang fuzzy-based decision feedback equalizer; evolutionary algorithm; least mean square scheme; multilayer perceptron; quadrature-amplitude-modulation; Algorithm design and analysis; Cities and towns; Cost function; Decision feedback equalizers; Evolutionary computation; Fuzzy sets; Fuzzy systems; Intersymbol interference; Matched filters; Quadrature amplitude modulation; Decision feedback equalizer (DFE); evolutionary algorithm (EA); fuzzy neural networks;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-7747
Type :
jour
DOI :
10.1109/TCSII.2005.850517
Filename :
1510885
Link To Document :
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