Complex fuzzy adaptive filter with LMS algorithm

Author

Lee, Ki Yong

Author_Institution

Dept. of Electron. Eng., Changwon Nat. Univ., Kyungnam, South Korea

Volume

44

Issue

2

fYear

1996

fDate

2/1/1996 12:00:00 AM

Firstpage

424

Lastpage

427

Abstract

A fuzzy adaptive filter is constructed from a set of fuzzy IF-THEN rules that change adaptively to minimize some criterion function as new information becomes available. This paper generalizes the fuzzy adaptive filter based on least mean squares (LMS) to include complex parameters and complex signals. The fuzzy filter as adaptive equalizer is applied to quadrature amplitude modulation (QAM) digital communication with linear complex channel characteristics

Keywords

adaptive equalisers; adaptive filters; digital communication; fuzzy systems; least mean squares methods; quadrature amplitude modulation; telecommunication channels; LMS algorithm; adaptive equalizer; complex fuzzy adaptive filter; complex parameters; complex signals; digital communication; fuzzy rules; least mean squares; linear complex channel characteristics; quadrature amplitude modulation; Adaptive filters; Adaptive signal processing; Fuzzy sets; Fuzzy systems; Least squares approximation; Multidimensional signal processing; Quadrature amplitude modulation; Signal processing; Signal processing algorithms; Zirconium;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.485938

Filename

485938