D. Mattera et L. Paura, HIGHER-ORDER CYCLOSTATIONARITY-BASED METHODS FOR IDENTIFYING VOLTERRASYSTEMS BY INPUT-OUTPUT NOISY MEASUREMENTS, Signal processing, 67(1), 1998, pp. 77-98
Identification methods of nonlinear Volterra systems of finite order N
by input-output measurements are proposed. The input signal is assume
d to be amplitude-modulated cyclostationary signal and the measures of
the input and output signals are supposed to be corrupted by signal-i
ndependent additive noise. Two identification methods are proposed: th
e former assumes that the modulating sequence be white at least up to
2N-order; the latter considers a stationary Gaussian sequence. They ex
ploit the higher-order cyclostationarity selectivity property of the i
nput signal to reject noises and interferences. The performance analys
is, carried out by computer simulations for a quadratic Volterra syste
m, shows the capability of the proposed methods to operate satisfactor
ily in severe noise environment. (C) 1998 Elsevier Science B.V. All ri
ghts reserved.