Bi-Iterative Algorithm for Extracting Independent Components From Array Signals

Author

Feng, Da-Zheng ; Zhang, Hua ; Zheng, Wei Xing

Author_Institution

Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China

Volume

59

Issue

8

fYear

2011

Firstpage

3636

Lastpage

3646

Abstract

It is well known that the complex-valued nonunitary joint diagonalization (NUJD) problem in blind source separation (BSS) can be linked to the trilinear models. In this paper, by exploring the special structure of the NUJD problem in BSS, we introduce a novel symmetric tri-quadratic cost function and then derive a simultaneous bi-iterative algorithm (s-BIA) for solving the NUJD problem. Finally, three experiments are conducted in order to show the comparatively good performance of the proposed BSS algorithm.

Keywords

array signal processing; blind source separation; feature extraction; iterative methods; array signals; blind source separation; complex-valued nonunitary joint diagonalization problem; independent component extraction; simultaneous biiterative algorithm; symmetric triquadratic cost function; trilinear models; Algorithm design and analysis; Arrays; Cost function; Covariance matrix; Joints; Signal processing algorithms; Source separation; Bi-iterative algorithm (BIA); JADE; blind source separation (BSS); eigenmatrices; nonunitary joint diagonalization (NUJD); tri-quadratic cost function;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

Conference_Location

5/2/2011 12:00:00 AM

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2011.2150217

Filename

5762392