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Paper data
higher order blind separation of non zero-mean cyclostationary sources

Ferréol Anne, Thales communications
Chevalier Pascal, thales communications
Albera Laurent, Thales communications

Page numbers in the proceedings:
Volume II pp 103-106

Blind Identification and Deconvolution

Paper abstract
Most of the current Second Order (SO) and Higher Order (HO) blind source separation (BSS) methods aim at blindly separating statistically independent sources, assumed zero-mean, stationary and ergodic. However in practical situations, such as in radiocommunications contexts, the sources are non stationary and very often cyclostationary. In a previous paper [4] the cumulant-based BSS problem for cyclostationary sources has been analysed assuming zero-mean sources (linear modulations). The non zero-mean case (some non linear modulations) has been considered recently in [5] for the current SO BSS methods. The purpose of this paper is now to analyse the behavior and to propose adaptations of the current HO BSS methods for non zero-mean cyclostationary sources.

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