Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.777018
