Blind identification and equalization of minimum-phase channels

Author

An, Senjian ; Hua, Yingbo

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

265

Lastpage

268

Abstract

In this paper, a second order statistics based technique of blind identification and equalization is proposed for minimum phase channels driven by stochastically independent colored signals. Sufficient identifiability conditions are given. Unlike most existing blind identification methods, this method does not require the number of sensors to be greater than the number of source signals. Simulation results are given to demonstrate the performance of the proposed algorithm

Keywords

MIMO systems; blind equalisers; deconvolution; identification; statistical analysis; telecommunication channels; FIR channels; MIMO channels; blind equalization; blind identification; blind signal separation; channel estimation; deconvolution; minimum phase channels; second order statistics technique; stochastically independent colored signals; sufficient identifiability conditions; Australia; Blind equalizers; Blind source separation; Decorrelation; Finite impulse response filter; MIMO; Polynomials; Signal processing; Speech enhancement; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955273

Filename

955273