Adaptive precompensation of Wiener systems

Author

Kang, Hyun Woo ; Cho, Yong Soo ; Youn, Dae Hee

Author_Institution

Multimedia Res. & Dev. Center, Hyundai Electron. Ind. Co. Ltd., Seoul, South Korea

Volume

46

Issue

10

fYear

1998

fDate

10/1/1998 12:00:00 AM

Firstpage

2825

Lastpage

2829

Abstract

This article presents an adaptive precompensation technique for the Wiener system: a class of nonlinear systems that can be represented by the interconnection of a linear dynamic subsystem and a memoryless nonlinear subsystem. An adaptive algorithm for adjusting the parameters of the precompensator, structured by a Hammerstein model, is derived using the stochastic gradient method. The validity of the proposed algorithm is confirmed in a computer simulation by applying it to known Wiener systems

Keywords

Wiener filters; adaptive filters; adaptive signal processing; discrete time filters; filtering theory; interconnected systems; memoryless systems; nonlinear filters; stochastic processes; Hammerstein model; Volterra series expansion; Wiener systems; adaptive algorithm; adaptive precompensation; computer simulation; discrete-time causal nonlinear systems; linear dynamic subsystem interconnection; memoryless nonlinear inverse filter; memoryless nonlinear subsystem; precompensator parameters adjustment; stochastic gradient method; Acoustic distortion; Adaptive algorithm; Adaptive systems; Computer simulation; Electrical engineering; Gradient methods; Nonlinear distortion; Nonlinear dynamical systems; Nonlinear systems; Stochastic processes;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.720387

Filename

720387