Under-Determined Blind Identification of Cyclo-Stationary Signals with Unknown Cyclic Frequencies

In this communication, we propose a new method to blindly identify the mixing matrix of a possibly under-determined mixture of cyclostationary source signals. It is based on the use of a linear operator applied on the observations correlation matrix. Exploiting the properties of the above transformed matrix, a set of cyclic frequencies is first estimated. Then it is used to construct different estimations of the mixing matrix column vectors. Finally using a classification procedure, the mixing matrix is then estimated