Title :
Variable forgetting factor nonlinear RLS algorithm in correlated mixture noise
Author :
Leung, S.H. ; So, C.F.
Author_Institution :
Dept. of Electron. Eng., City Univ.. of Hong Kong, Kowloon, China
fDate :
6/21/2001 12:00:00 AM
Abstract :
A new nonlinear RLS adaptive algorithm with a variable forgetting factor is introduced. The autocorrelations of nonzero lags, which is insensitive to additive noise, is used to control the forgetting factor of the nonlinear RLS. This scheme provides an algorithm with good tracking capability and small model error in correlated impulsive noise
Keywords :
correlation theory; impulse noise; least squares approximations; additive noise; correlated mixture noise; impulsive noise; model error; nonlinear recursive least squares adaptive algorithm; nonzero lag autocorrelation; tracking; variable forgetting factor;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010559
