Blind channel identification using RLS method based on second-order statistics

Author

Kimura, Tomohiro ; Sasaki, Hideaki ; Ochi, Hiroshi

Author_Institution

R&D Lab., Kyushu Matsushita Electr. Co. Ltd., Japan

fYear

1999

fDate

1999

Firstpage

78

Lastpage

81

Abstract

In this paper, we propose a new blind identification algorithm which is based on second order statistics and exploits a single-input double-output (SIDO) model. It is suitable for a real-time processing system because of lower operation and high-speed convergence. The proposed blind identification algorithm is superior to conventional algorithms in view of simple structure and the uniqueness of solution. We also verify its efficiency by computer simulation

Keywords

blind equalisers; convergence of numerical methods; least squares approximations; recursive estimation; statistical analysis; telecommunication channels; RLS method; SIDO model; blind channel identification; computer simulation; high-speed convergence; real-time processing system; second-order statistics; single-input double-output model; Bandwidth; Blind equalizers; Computer simulation; Convergence; Cost function; Digital communication; Equations; Intersymbol interference; Resonance light scattering; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on

Conference_Location

Annapolis, MD

Print_ISBN

0-7803-5599-7

Type

conf

DOI

10.1109/SPAWC.1999.783023

Filename

783023