Robust Eigenvector Algorithms for Blind Deconvolution of MIMO Linear Systems

This paper presents eigenvector algorithms (EVAs) for blind deconvolution of multiple-input, multiple-output infinite impulse response channels (convolutive mixtures). An attractive feature of one of the proposed EVAs is that it is insensitive to Gaussian noises which are added to the outputs of the channels; hence, the proposed EVA is referred to as a "robust" eigenvector algorithm. Simulation results show the validity of the proposed EVAs. [PUBLICATION ABSTRACT]