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Blind signal separation based on statistic independence has been studied extensively. Particularly difficult is seperation of convolutive mixture. This can be solved approximately by a method with an FIR filter which is a cascade connection of many delay elements. It is, however, more desirable if the signal can be deconvoluted with an IIR filter (having feedback loop) of a modest order. This paper proposes such a demixer by projecting the conventional learning law based on the FIR approximation toward the parameter space of IIR filters. Numerical simulation is carried out to evaluate the proposed method.

Blind deconvolution with IIR filter by projecting the learning law in FIR approximation