Linear Approximation of Weakly Nonlinear MIMO Systems

Author

Dobrowiecki, Tadeusz P. ; Schoukens, Johan

Author_Institution

Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ.

Volume

56

Issue

3

fYear

2007

fDate

6/1/2007 12:00:00 AM

Firstpage

887

Lastpage

894

Abstract

A nonlinear multiple-input-multiple-output (MIMO) Volterra system, measured with random multisine signals, can be replaced by an approximating linear MIMO system followed by nonlinear-noise sources. This approximation is a straightforward extension of the approximation to single-input-single-output Volterra systems. For a two-input-two-output cubic system, an optimized measurement strategy is also proposed to reduce as much as possible the influence of nonlinear noise on the measurement of the nonparametric frequency-response function

Keywords

MIMO systems; Volterra series; approximation theory; frequency response; nonlinear systems; Volterra series; Volterra system; frequency-response function; linear approximation; multiple-input-multiple-output; nonlinear MIMO systems; nonlinear-noise sources; optimized measurement strategy; random multisine signals; single-input-single-output; Distortion measurement; Frequency measurement; Linear approximation; MIMO; Noise measurement; Noise shaping; Nonlinear distortion; Nonlinear systems; Shape measurement; Stochastic systems; Frequency-response function (FRF); Volterra series; multiple-input–multiple-output (MIMO) system; nonlinear system; random multisine;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2007.894898

Filename

4200993