Higher order blind separation of non zero-mean cyclostationary sources

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.