A new method in blind estimation of fast time-varying channels based on subspace method

Author

Momen, AmirReza ; Masajedian, Saeed ; Miar, Yasin ; Chime, Jahangir Dadkhah

Author_Institution

Iran Telecommun. Res. Center, Islamic Azad Univ., Tehran, Iran

Volume

4

fYear

2004

Firstpage

1957

Abstract

Traditional blind subspace-based channel estimation algorithms using second order statistics cannot estimate time-varying channels. However, there are some methods to modify these algorithms in order to estimate time-varying channels to some extent. Despite that, estimation error is high. We propose a method, based on ULV updating using modified Stewart sliding windows, to identify fast time-varying channels; it is able to estimate time-varying channels with low error and high speed convergence.

Keywords

channel estimation; convergence of numerical methods; matrix decomposition; statistical analysis; time-varying channels; blind channel estimation; estimation error; fast channel identification; fast time-varying channels; matrix decomposition updating; modified Stewart sliding windows; second order statistics; subspace method; Blind equalizers; Channel estimation; Convergence; Convolution; Eigenvalues and eigenfunctions; Estimation error; Matrix decomposition; Sampling methods; Statistics; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2004. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-8253-6

Type

conf

DOI

10.1109/CCECE.2004.1347601

Filename

1347601