Title :
Nonlinear distortions and multisine signals. I. Measuring the best linear approximation
Author :
Evans, Ceri ; Rees, David
Author_Institution :
Sch. of Electron., Glamorgan Univ., Pontypridd, UK
fDate :
6/1/2000 12:00:00 AM
Abstract :
This paper examines the effects of nonlinearities on frequency response function measurements using 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 of a nonlinear system. A comparison is made with related work in this area
Keywords :
approximation theory; frequency response; frequency-domain analysis; identification; linear systems; nonlinear distortion; signal processing; Wiener-Hammerstein model; best linear approximation; broadband pilot test signals; frequency response function measurements; frequency-domain analysis; harmonic multisines; multisine signals; nonlinear distortions; nonlinearities effect; periodic multifrequency signals; signal processing; sparse odd multisines; system bandwidth; system identification; time invariant system; Distortion measurement; Frequency measurement; Linear approximation; Linear systems; Nonlinear distortion; Nonlinear systems; Signal processing; Stochastic systems; System identification; System testing;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
