Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA

Authors:
Mitsuru Kawamoto;Yujiro Inouye;Kiyotaka Kohno
Affiliations:
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan 305-8568;Department of Electronic and Control Systems Engineering, Shimane University, Matsue, Japan 690-8504;Department of Electronic Control Engineering, Yonago National College of Technology, Yonago, Japan 683-8502
Venue:
Neural Information Processing
Year:
2008

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Abstract

This paper deals with a blind deconvolution (DB) problem for multiple-input multiple-output infinite impulse response (MIMO-IIR) systems. To solve this problem, we propose an eigenvector algorithm (EVA). In the proposed EVA, two kinds of EVAs are merged so as to give a good performance: One is an EVA and the other is a Robust EVA (REVA) which works with as little sensitive to Gaussian noise as possible. Owing to this combination, two drawbacks of the conventional EVAs can be overcome. Simulation results show the validity of the proposed EVA.