Identification of Parallel-Cascade Wiener Systems Using Joint Diagonalization of Third-Order Volterra Kernel Slices

被引：25

作者：

Kibangou, Alain Y. ^{[1
]}

Favier, Gerard ^{[2
]}

机构：

[1] Univ Toulouse, CNRS, LAAS, F-31077 Toulouse, France

[2] Univ Nice Sophia Antipolis, CNRS, Lab 13S, Sophia Antipolis, France

来源：

IEEE SIGNAL PROCESSING LETTERS | 2009年 / 16卷 / 1-3期

关键词：

Joint diagonalization; nonlinear systems; parallel-cascade Wiener systems; parameter estimation; Volterra kernels; ALGORITHM;

D O I：

10.1109/LSP.2008.2011706

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：

This letter is concerned with the parameter estimation of linear and nonlinear subsystems of Parallel-Cascade Wiener Systems (PCWS). We first present the relationship between a PCWS and its associated Volterra model. We show that the coefficients of the linear subsystems can be obtained using a joint diagonalization of the third-order Volterra kernel slices. Then, the coefficients of the nonlinear subsystems are estimated using the least square algorithm. The proposed parameter estimation method is illustrated by means of simulation results.

引用

页码：188 / 191

页数：4

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