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