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Blind source separation using second-order cyclostationary statistics

journal contribution
posted on 2001-04-01, 00:00 authored by K Abed-Meraim, Yong XiangYong Xiang, J Manton, Y Hua
This paper studies the blind source separation (BSS) problem with the assumption that the source signals are cyclostationary. Identifiability and separability criteria based on second-order cyclostationary statistics (SOCS) alone are derived. The identifiability condition is used to define an appropriate contrast function. An iterative algorithm (ATH2) is derived to minimize this contrast function. This algorithm separates the sources even when they do not have distinct cycle frequencies .

History

Journal

IEEE transactions on signal processing

Volume

49

Issue

4

Pagination

694 - 701

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Location

Piscataway, N.J.

ISSN

1053-587X

eISSN

1941-0476

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2001, IEEE