Complex LMS fuzzy adaptive equalizer with decision feedback

Author

Lee, S.Y. ; Kim, J.B. ; Lee, K.Y. ; Lee, C.W.

Author_Institution

Seoul Nat. Univ., South Korea

Volume

1

fYear

1996

fDate

18-22 Nov 1996

Firstpage

191

Abstract

A complex fuzzy adaptive decision feedback equalizer (CFADFE) based on the LMS algorithm is proposed. The CFADFE is constructed from a set of changeable complex fuzzy if-then rules and the `if´ part of the rule are characterized by the state of the decision feedback. The computational complexity is reduced dramatically by using the decision feedback. The CFADFE not only reduces the computational complexity but also improves the performance compared with the conventional complex fuzzy adaptive equalizers. The adaptation speed is greatly improved by incorporating some linguistic information about the channel into the equalizer. It is applied to a QAM digital communication system with linear and nonlinear complex channel characteristics

Keywords

adaptive equalisers; computational complexity; decision feedback equalisers; digital communication; fuzzy logic; least mean squares methods; quadrature amplitude modulation; LMS algorithm; QAM digital communication system; adaptation speed; complex fuzzy adaptive decision feedback equalizer; computational complexity reduction; decision feedback; linguistic information; nonlinear complex channel characteristics; performance; Adaptive equalizers; Communication channels; Computational complexity; Decision feedback equalizers; Digital communication; Fuzzy sets; Humans; Least squares approximation; Quadrature amplitude modulation; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity

Conference_Location

London

Print_ISBN

0-7803-3336-5

Type

conf

DOI

10.1109/GLOCOM.1996.594358

Filename

594358