Automated methodology for modeling and measuring memoryless nonlinearities from the stochastic properties of a signal

Author

Martins, Raul Carneiro ; Serra, António Cruz

Author_Institution

Univ. Tecnica de Lisboa

Volume

1

fYear

2004

fDate

17-17 Sept. 2004

Firstpage

437

Abstract

In this paper, we tackle a new approach to the measurement and compensation of memoryless nonlinearities. It consists of three steps: i) the measuring of the amplitude distribution; ii) the orthogonal polynomial memoryless nonlinear description; and iii) the distortion compensation through algebraic polynomial inversion. With this procedure, an expeditious and rigorous method for the characterization of a nonlinear device is also possible with the important advantage of allowing for the use of far from ideal stimulus generators whose distortion can be compensated a posteriori

Keywords

compensation; distortion measurement; nonlinear network analysis; polynomials; statistical analysis; stochastic processes; a posteriori distortion compensation; algebraic polynomial inversion; amplitude distribution measurement; automated memoryless nonlinearities modeling; distorted stimulus generator; memoryless nonlinearity measurement; nonlinearity compensation; orthogonal polynomial memoryless nonlinear description; probability density function; signal stochastic properties; Bandwidth; Character generation; Density functional theory; Distortion measurement; Frequency; Histograms; Nonlinear distortion; Polynomials; Spectral analysis; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

AFRICON, 2004. 7th AFRICON Conference in Africa

Conference_Location

Gaborone

Print_ISBN

0-7803-8605-1

Type

conf

DOI

10.1109/AFRICON.2004.1406712

Filename

1406712