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Identification of fifth-order Volterra systems using i.i.d. inputs

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2 Author(s)
A. Y. Kibangou ; LAAS, CNRS, Universite de Toulouse, 7 av. Colonel Roche, Toulouse Cedex 31077, France ; G. Favier

In this study, we show that the minimum mean square estimate (MMSE) of the parameters of a fifth-order Volterra model can be obtained in closed-form when the input is independent and identically distributed (i.i.d). The derived closed-form expressions of the kernel coefficients can be used for identifying Volterra systems with arbitrary memory. Some simulation results are presented to illustrate the proposed identification method.

Published in:

IET Signal Processing  (Volume:4 ,  Issue: 1 )