Semi-blind second order identification of convolutive channels

Our contribution addresses the identification of multiple convolutive FIR channels. Many recently proposed blind techniques suffer from the imperfect knowledge of the channel order. Meanwhile the major part of the existing communication systems requires periodically transmitted reference sequences known at the reception site. This information can be used to ensure the robustness the existing blind approaches. We consider here joint utilization of the referenced snapshots with the non-referenced data and construct a combined estimator originating from the blind subspace based technique applied to the Single Input Multiple Output (SIMO) systems identification. The statistical efficiency analysis and numerical examples are presented.