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 R
LS. This scheme provides an algorithm with good tracking capability and sma
ll model error in correlated impulsive noise.