Robust Eigenvector Algorithms for Blind Deconvolution of MIMO Linear Channels
Mitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye · 2007
This paper presents eigenvector algorithms (EVAs) for blind deconvolution of multiple-input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mixtures). One of the attractive features of the proposed EVA 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 (REVA). Simulation results show the validity of the REVA.