Blind linearization, and identification of nonlinear systems-a least squares, Pth order inverse approach

Author

Raz, Gil M. ; Van Veen, Barry D.

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

Volume

6

fYear

1998

fDate

12-15 May 1998

Firstpage

3413

Abstract

A deterministic approach to blind nonlinear channel equalization and identification is presented. This approach applies to nonlinear channels that can be approximately linearized by finite memory, finite order Volterra filters. Both the Volterra equalizers and the linearized channels are identified. This method also applies to blind identification of linear IIR channels. General conditions for existence and uniqueness are discussed and numerical examples are given

Keywords

IIR filters; equalisers; identification; inverse problems; least squares approximations; linearisation techniques; nonlinear filters; Pth order inverse approach; Volterra equalizers; blind linearization; blind nonlinear channel equalization; deterministic approach; existence conditions; finite memory finite order Volterra filters; identification; least squares; linear IIR channels; linearized channels; nonlinear systems; uniqueness conditions; Blind equalizers; Convolution; Drives; Finite impulse response filter; Gas insulated transmission lines; IIR filters; Least squares approximation; Least squares methods; Nonlinear filters; Nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.679598

Filename

679598