Improved single parafac decomposition 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 to recover one row of the system response matrix. We here proposed an approach that fully exploits the information in the output tensor, and as a result achieves lower error values. The proposed modification renders the method applicable to systems with more inputs than outputs.