A blind channel identification algorithm based on matrix outer-product

Author

Ding, Zhi

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

Volume

2

fYear

1996

fDate

23-27 Jun 1996

Firstpage

852

Abstract

Blind channel identification and equalization have attracted a great deal of attention recently due to their potential application in mobile communications and digital HDTV systems. We present a new parameter estimation algorithm based on matrix outer-product decomposition. This new algorithm can be viewed as a generalized linear prediction algorithm. It produces more accurate channel estimates and is more robust to over-modeling errors in channel order estimate. The superior performance of this new algorithm is demonstrated through simulation examples

Keywords

digital radio; digital television; high definition television; land mobile radio; matrix decomposition; parameter estimation; prediction theory; blind channel equalization; blind channel identification algorithm; channel order estimate; digital HDTV systems; generalized linear prediction algorithm; matrix outer-product decomposition; mobile communications; over-modeling errors; parameter estimation algorithm; performance; simulation; Blind equalizers; Data communication; HDTV; Higher order statistics; Mobile communication; Prediction algorithms; Quadrature amplitude modulation; Robustness; Signal processing; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on

Conference_Location

Dallas, TX

Print_ISBN

0-7803-3250-4

Type

conf

DOI

10.1109/ICC.1996.541301

Filename

541301