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Improved PARAFAC Based Blind MIMO System Estimation

We consider the problem of frequency domain identification of a multiple-input multiple-output (MIMO) system driven by white, mutually independent unobservable inputs. In particular, we improve upon a method recently proposed by the authors [1] that uses PARAFAC decomposition of a tensor that is formed based on higher-order statistics of the system output. The approach of [1] utilizes only one slice of the output tensor at each time. We here proposed an approach that fully exploits the information in the output tensor, and as a result achieves lower error values. The proposed approach can also be applied to systems with more inputs than outputs.