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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1683

Title: Parafac based blind estimation of MIMO systems with possibly more inputs than outputs
Authors: Yu, Yuanning
Petropulu, Athina P.
Keywords: PARAFAC decomposition;High-order statistics;MIMO;Blind estimation
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Proceedings of the 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, 3: pp. 133-136.
Abstract: We consider the problem of frequency domain identification of a convolutive multiple-input multiple-output (MIMO) system driven by white, mutually independent unobservable inputs. In particular, we improve upon a method recently proposed in [1] that uses PARAFAC decomposition of a tensor that is formed based on thirdorder 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 propose an approach that fully exploits the information in the output tensor. As a result, the proposed method not only achieves lower error values but also becomes applicable to MIMO systems with possibly more inputs than outputs. By combing two output tensors, we can make the approach applicable to more systems. We also extend the method to employ fourth-order statistics of the system output.
URI: http://dx.doi.org/10.1109/ICASSP.2006.1660608
Appears in Collections:Faculty Research and Publications (ECE)

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