QR decomposition based blind channel identification and equalization

Author

Li, Xiaohua ; Fan, H.

Author_Institution

Dept. of ECECS, Cincinnati Univ., OH, USA

Volume

2

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

1484

Abstract

Most eigenstructure-based blind channel identification and equalization algorithms with second-order statistics need SVD or EVD of the correlation matrix of the output signal. We address a new algorithm based on QR factorization of the output data directly. Compared with existing algorithms in the same category, our algorithm is computationally more efficient and numerically (potentially) more robust. Numerical simulations demonstrate the performance of the proposed algorithms.

Keywords

blind equalisers; correlation methods; matrix decomposition; parameter estimation; statistical analysis; telecommunication channels; EVD; ISI; QR decomposition; QR factorization; SVD; blind channel equalization algorithm; blind channel identification algorithm; computationally efficient algorithm; correlation matrix; digital communication channels; eigenstructure; numerical simulations; output data; output signal; performance; second-order statistics; Blind equalizers; Digital communication; Eigenvalues and eigenfunctions; Intersymbol interference; Matrix decomposition; Numerical simulation; Robustness; Signal processing; Signal processing algorithms; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.751573

Filename

751573