Noise robust blind system identification using second order statistics

Author

Oshiro, Mirai ; Ochi, Hiroshi

Author_Institution

Fac. of Inf. Eng., Kyushu Inst. of Technol., Fukuoka, Japan

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

1032

Abstract

We propose a noise robust blind system identification scheme using second order statistics. This technique makes use of a single-input triple-outputs (SITO) model and the correlation function of received signal. In addition, we propose a recursive algorithm using the RLS method. As well as the derivation of algorithm, some computer simulation are also shown.

Keywords

blind equalisers; correlation methods; identification; interference suppression; intersymbol interference; least squares approximations; noise; recursive estimation; statistical analysis; ISI suppression; RLS method; SITO model; channel equalization; computer simulation; correlation function; high speed digital communication; intersymbol interference; multipath effects; noise robust blind system identification; received signal; recursive algorithm; second order statistics; single-input triple-outputs model; Additive noise; Bandwidth; Computer simulation; Interference constraints; Intersymbol interference; Least squares approximation; Noise robustness; Resonance light scattering; Statistics; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831866

Filename

831866