Wiener-Hammerstein systems modeling using diagonal Volterra kernels coefficients

被引：60

作者：

Kibangou, AY ^{[1
]}

Favier, G ^{[1
]}

机构：

[1] UNSA, CNRS, Lab I3S, F-06903 Sophia Antipolis, France

来源：

IEEE SIGNAL PROCESSING LETTERS | 2006年 / 13卷 / 06期

关键词：

alternating least squares (ALS); bilinear decomposition; parameter estimation; Toeplitz matrix; Volterra models; Wiener-Hammerstein models;

D O I：

10.1109/LSP.2006.871705

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：381 / 384

页数：4

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