Matrix outer-product decomposition method for blind multiple channel identification

Author

Ding, Zhi

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Technol., Kowloon, Hong Kong

Volume

45

Issue

12

fYear

1997

fDate

12/1/1997 12:00:00 AM

Firstpage

3053

Lastpage

3061

Abstract

Blind channel identification and equalization have attracted a great deal of attention due to their potential application in mobile communications and digital TV systems. In this paper, we present a new algorithm that utilizes second-order statistics for multichannel parameter estimation. The algorithm is simple and relies on an outer-product decomposition. Its implementation requires no adjustment for single- or multiple-user systems. This new algorithm can be viewed as a generalization of a linear prediction algorithm. It is capable of generating more accurate channel estimates and is more robust to overmodeling errors in channel order estimates. The superior performance of this new algorithm is demonstrated through simulation examples

Keywords

digital communication; error analysis; identification; matrix decomposition; prediction theory; statistical analysis; telecommunication channels; blind multiple channel identification; channel estimates; channel order estimates; digital TV systems; equalization; linear prediction algorithm; matrix outer-product decomposition method; mobile communications; multichannel parameter estimation; multiple-user systems; overmodeling errors; performance; second-order statistics; single-user systems; Blind equalizers; Digital TV; Higher order statistics; Matrix decomposition; Mobile communication; Parameter estimation; Prediction algorithms; Robustness; Signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.650264

Filename

650264