An adaptive scheme is derived to be used in combination with the norma
lised least mean squares algorithm for finite impulse response models
(FIR-NLMS), to combat nonlinear imperfections of the plant to be ident
ified. The scheme is shown to outperform FIR-NLMS when a test system t
hat consists of a variable static nonlinearity in cascade with a linea
r filter is identified.