SPC01-2: A New Blind Signal Separation Algorithm for Instantaneous MIMO System

Author

Gu, Nong ; Guan, Zhenying ; Nahavandi, Saeid ; Xiang, Yong

Author_Institution

Sch. of Eng. & Technol., Deakin Univ., Burwood, VIC

fYear

2006

fDate

Nov. 27 2006-Dec. 1 2006

Firstpage

1

Lastpage

5

Abstract

We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input multi- output (MIMO) channels. In this paper, we propose a new constant modulus (CM)-based algorithm which employ nonlinear function as the de-correlation term. Moreover, it is shown by theoretical analysis that the proposed algorithm has less mean square error (MSE), i.e., better separation performance, in steady state than the cross-correlation and constant modulus algorithm (CC-CMA). Numerical simulations show the effectiveness of the proposed result.

Keywords

MIMO communication; blind source separation; mean square error methods; nonlinear functions; wireless channels; BSS; CM; MIMO system; MSE; blind signal separation algorithm; constant modulus algorithm; de-correlation term; mean square error; multiinput-multioutput channels; nonlinear function; Blind source separation; Cost function; MIMO; Mobile communication; Multiaccess communication; Performance analysis; Sensor arrays; Sensor systems; Source separation; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE

Conference_Location

San Francisco, CA

ISSN

1930-529X

Print_ISBN

1-4244-0356-1

Electronic_ISBN

1930-529X

Type

conf

DOI

10.1109/GLOCOM.2006.533

Filename

4151163