Title :
Complex RLS fuzzy adaptive filter and its application to channel equalisation
Author_Institution :
Dept. of Electron. Eng., Changwon Nat. Univ., Kyungnam-do
fDate :
9/15/1994 12:00:00 AM
Abstract :
A complex fuzzy adaptive filter based on the RLS algorithm is presented. The inputs and outputs of the fuzzy filter are both complex valued. The fuzzy filter, used as an adaptive equaliser, is applied to 4-QAM digital communication with nonlinear complex channel characteristics. The bit error rates of the fuzzy equalisers are close to those of the optimal equaliser
Keywords :
adaptive filters; amplitude modulation; digital communication systems; digital filters; equalisers; filtering and prediction theory; fuzzy logic; least squares approximations; recursive functions; 4-QAM digital communication; RLS algorithm; adaptive equaliser; bit error rates; channel equalisation; complex fuzzy adaptive filter; nonlinear characteristics; optimal equaliser;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19941065