Nonlinear distortions and multisine signals. I. Measuring the best linear approximation

Author

Evans, Ceri ; Rees, David

Author_Institution

Sch. of Electron., Univ. of Glamorgan, Pontypridd, UK

Volume

2

fYear

1999

fDate

1999

Firstpage

1038

Abstract

This paper examines the effects of nonlinearities on periodic multifrequency signals. A class of broadband pilot test signals is proposed, termed sparse odd multisines, which can be used to establish the system bandwidth and detect nonlinearities. Signals are then defined within this class which allow the measurement of the best linear approximation to a nonlinear system. A comparison is made with related work in this area

Keywords

convolution; digital signals; frequency-domain analysis; identification; linear systems; modelling; nonlinear distortion; polynomial approximation; Wiener-Hammerstein system; best linear approximation; block-oriented models; broadband test signals; cascade model; complex error; discrete frequency-domain convolution; linear system identification; multisine signals; nonlinear distortions; nonlinear system; nonlinearities effect; periodic multifrequency signals; power series; sparse odd multisines; system bandwidth; time invariant system; Distortion measurement; Frequency estimation; Linear approximation; Linear systems; Nonlinear distortion; Nonlinear systems; Phase distortion; Signal generators; Stochastic systems; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE

Conference_Location

Venice

ISSN

1091-5281

Print_ISBN

0-7803-5276-9

Type

conf

DOI

10.1109/IMTC.1999.777018

Filename

777018