On-line algorithms for blind deconvolution of multichannel linear time-invariant systems

Author

Inoue, Yasuyuki ; Sato, Takehito

Author_Institution

Dept. of Syst. Eng., Osaka Univ., Japan

fYear

1997

fDate

21-23 Jul 1997

Firstpage

204

Lastpage

208

Abstract

Blind deconvolution and blind equalization have been important interesting topics in diverse fields including data communication, image processing and geophysical data processing. Inouye and Habe (1995) proposed a constrained multistage criterion for attaining blind deconvolution of multichannel linear time-invariant (LTI) systems. In this paper, based on their constrained criterion, we present an iterative algorithm for solving the blind deconvolution problem of multichannel LTI systems. Inouye and Sato (1996) proposed new unconstrained criteria for accomplishing the blind deconvolution of multichannel LTI systems. Based on their unconstrained criteria, we show iterative algorithms for solving the blind deconvolution of multichannel LTI systems. Simulation examples are included to examine the proposed algorithms

Keywords

deconvolution; equalisers; iterative methods; blind deconvolution; blind equalization; constrained multistage criterion; data communication; geophysical data processing; image processing; iterative algorithm; multichannel linear time-invariant systems; online algorithms; unconstrained criteria; Blind equalizers; Data communication; Data engineering; Data processing; Deconvolution; Image processing; Iterative algorithms; Modeling; Systems engineering and theory; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on

Conference_Location

Banff, Alta.

Print_ISBN

0-8186-8005-9

Type

conf

DOI

10.1109/HOST.1997.613516

Filename

613516