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Frequency domain blind MIMO system identification based on second and higher order statistics

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2 Author(s)
Chen, Binning ; Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA ; Petropulu, A.P.

We present a novel frequency-domain framework for the identification of a multiple-input multiple-output (MIMO) system driven by white, mutually independent, unobservable inputs. The system frequency response is obtained based on singular value decomposition (SVD) of a matrix constructed based on the power-spectrum and slices of polyspectra of the system output. By appropriately selecting the polyspectra slices, we can create a set of such matrices, each of which could independently yield the solution, of they could all be combined in a joint diagonalization scheme to yield a solution with improved statistical performance. The freedom to select the polyspectra slices allows us to bypass the frequency-dependent permutation ambiguity that is usually associated with frequency domain SVD, while at the same time allows us compute and cancel the phase ambiguity. An asymptotic consistency analysis of the system magnitude response estimate is performed

Published in:

Signal Processing, IEEE Transactions on  (Volume:49 ,  Issue: 8 )

Date of Publication:

Aug 2001

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