Blind identification of non-stationary MA systems

Author

Alameda, E. ; Ruiz, D.P. ; Blanco, D. ; Carrión, M.C.

Author_Institution

Dept. de Fisica Aplicada, Granada Univ., Spain

Volume

38

Issue

19

fYear

2002

fDate

9/12/2002 12:00:00 AM

Firstpage

1145

Lastpage

1147

Abstract

A new adaptive algorithm for blind identification of time-varying MA channels is derived. This algorithm proposes the use of a novel system of equations derived by combining the third- and fourth-order statistics of the output signals of MA models. This overdetermined system of equations has the important property that it can be solved adaptively because of their symmetries via an overdetermined recursive instrumental variable-type algorithm. This algorithm shows good behaviour in arbitrary noisy environments and good performance in tracking time-varying systems

Keywords

Gaussian noise; adaptive estimation; adaptive signal processing; blind equalisers; higher order statistics; moving average processes; parameter estimation; time-varying channels; MA models; adaptive algorithm; additive Gaussian noise; arbitrary noisy environments; blind identification; fourth-order statistics; higher-order statistics; iterative algorithms; nonstationary systems; overdetermined recursive algorithm; recursive instrumental variable algorithm; third-order statistics; time-varying channels; tracking;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el:20020634

Filename

1038643