Title :
Complex fuzzy adaptive filter with LMS algorithm
Author_Institution :
Dept. of Electron. Eng., Changwon Nat. Univ., Kyungnam, South Korea
fDate :
2/1/1996 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
