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Wiener-Hammerstein systems modeling using diagonal Volterra kernels coefficients

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2 Author(s)
Kibangou, A.Y. ; Lab. I3S, CNRS-UNSA, Sophia Antipolis, France ; Favier, G.

In this letter, we first present explicit relations between block-oriented nonlinear representations and Volterra models. For an identification purpose, we show that the estimation of the diagonal coefficients of the Volterra kernels associated with the considered block-oriented nonlinear structures is sufficient to recover the overall model. An alternating least squares-type algorithm is provided to carry out this model identification.

Published in:

Signal Processing Letters, IEEE  (Volume:13 ,  Issue: 6 )