Title :
Improved single PARAFAC decomposition based blind MIMO system estimation
Author :
Yu, Yuanning ; Petropulu, Athina P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA
Abstract :
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 that uses PARAFAC decomposition of a tensor that is formed based on higher-order statistics of the system output. The approach of Y. Yu and A.P. Petropulu, 2005, utilizes only one slice of the output tensor to recover one row of the system response matrix. We 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
Keywords :
MIMO systems; channel estimation; higher order statistics; blind MIMO system estimation; higher-order statistics; output tensor; system response matrix; Frequency domain analysis; Higher order statistics; Independent component analysis; MIMO; Matrix decomposition; Multiaccess communication; Singular value decomposition; Speech processing; System identification; Tensile stress;
Conference_Titel :
Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-9313-9
DOI :
10.1109/ISSPIT.2005.1577078