Blind system identification and channel equalization of IIR systems without statistical information

A novel approach is proposed to blindly identify an unknown IIR system. The approach is based on faster sampling at the system output and requires neither a priori statistical information on the unknown input nor training signals. The methods presented are linear in the parameters of the unknown system so that many standard recursive algorithms can be readily applied. It is also shown in the paper that under a generic condition, any finite-order IIR system is identifiable, provided the oversampling ratio is appropriately chosen.