Blind source separation using second-order cyclostationary statistics

Authors
Abed-Meraim, K Xiang, Y Manton, JH Hua, YB
Citation
K. Abed-meraim et al., Blind source separation using second-order cyclostationary statistics, IEEE SIGNAL, 49(4), 2001, pp. 694-701
Citations number
14
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON SIGNAL PROCESSING
ISSN journal
1053587X → ACNP
Volume
49
Issue
4
Year of publication
2001
Pages
694 - 701
Database
ISI
SICI code
1053-587X(200104)49:4<694:BSSUSC>2.0.ZU;2-O
Abstract
This paper studies the blind source separation (BSS) problem with the assum ption that the source signals are cyclostationary. Identifiability and sepa rability criteria based on second-order cyclostationary statistics (SOCS) a lone are derived. The identifiability condition is used to define an approp riate contrast function. An iterative algorithm (ATH2) is derived to minimi ze this contrast function. This algorithm separates the sources even when t hey do not have distinct cycle frequencies.