A sequential subspace method for blind identification of general FIR MIMO channels

Author

An, Senjian ; Manton, Jonathan H. ; Hua, Yingbo

Author_Institution

Dept. of Comput., Curtin Univ. of Technol., Perth, WA, Australia

Volume

53

Issue

10

fYear

2005

Firstpage

3906

Lastpage

3910

Abstract

This correspondence addresses the problem of blindly identifying multiple input multiple output (MIMO) finite impulse response (FIR) channels without the conventional assumption of identical column degrees. A subspace-based algorithm is developed that identifies the channel´s columns sequentially from the lowest degree columns to the highest degree ones. Compared with the previous generalized subspace method by Gorokhov and Loubaton (1997), the new method is simpler and more accurate.

Keywords

MIMO systems; blind equalisers; channel estimation; convolution; polynomial matrices; sequential estimation; FIR channel; blind identification; convolutive MIMO channel; finite impulse response; multiple input multiple output channels; sequential subspace method; Australia Council; Colored noise; Decorrelation; Finite impulse response filter; Laboratories; MIMO; Military computing; Polynomials; Signal processing; Signal processing algorithms; Blind identification; convolutive MIMO channels; subspace method;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2005.855076

Filename

1510996