Title :
Identification of Parallel-Cascade Wiener Systems Using Joint Diagonalization of Third-Order Volterra Kernel Slices
Author :
Kibangou, Alain Y. ; Favier, Gérard
Author_Institution :
CNRS, Univ. of Toulouse, Toulouse
fDate :
3/1/2009 12:00:00 AM
Abstract :
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.
Keywords :
Volterra series; Wiener filters; least squares approximations; nonlinear filters; nonlinear systems; parameter estimation; joint diagonalization; least square algorithm; parallel-cascade Wiener systems; parameter estimation; third-order Volterra kernel slices; Kernel; Least squares approximation; Mathematical model; Microwave amplifiers; Microwave filters; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Power amplifiers; Signal processing; Joint diagonalization; Volterra kernels; nonlinear systems; parallel-cascade Wiener systems; parameter estimation;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2011706