A two-stage algorithm for MIMO blind deconvolution of colored input signals

A new two-stage algorithm is proposed for the deconvolution of a multi-input multi-output (MIMO) system with colored input signals. Though most blind deconvolution algorithms in the literature utilize high-order statistics of the output signals for white input signals, the additional information that the input signals are colored allows second-order statistical algorithms to be designed. In fact, practical signal sources such as speech do have distinct, non-stationary, colored power spectral density. The first stage of signal separation is derived from a matrix pencil formed between output auto-correlation matrices at different delays. The deconvolution stage is then based on an existing subspace method. Simulation results are also presented