Houda Mathlouthi, Kamel Abederrahim, Faouzi Msahli and Gerard Favier. Crosscumulants Based Approaches for the Structure Identification of Volterra Models. International Journal of Automation and Computing, vol. 6, no. 4, pp. 420-430, 2009. DOI: 10.1007/s11633-009-0420-0
Citation: Houda Mathlouthi, Kamel Abederrahim, Faouzi Msahli and Gerard Favier. Crosscumulants Based Approaches for the Structure Identification of Volterra Models. International Journal of Automation and Computing, vol. 6, no. 4, pp. 420-430, 2009. DOI: 10.1007/s11633-009-0420-0

Crosscumulants Based Approaches for the Structure Identification of Volterra Models

  • In this paper, we address the problem of structure identification of Volterra models. It consists in estimating the model order and the memory length of each kernel. Two methods based on input-output crosscumulants are developed. The first one uses zero mean independent and identically distributed Gaussian input, and the second one concerns a symmetric input sequence. Simulations are performed on six models having different orders and kernel memory lengths to demonstrate the advantages of the proposed methods.
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