Subspace-Based Blind Identification of IIR Systems

A new subspace method for the blind identification of infinite impulse response (IIR), single input-multiple output (SIMO) systems represented using orthonormal bases with fixed poles, is presented in this paper. Basis coefficients are estimated in closed form, up to a scalar factor, by first comput...

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Bibliographic Details
Main Authors: Gomez, J.C., Baeyens, E.
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Digital communication
Finite impulse response filter
Least squares approximation
Matrix decomposition
Sensor arrays
Signal processing
Signal processing algorithms
Singular value decomposition
Stability
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Summary:A new subspace method for the blind identification of infinite impulse response (IIR), single input-multiple output (SIMO) systems represented using orthonormal bases with fixed poles, is presented in this paper. Basis coefficients are estimated in closed form, up to a scalar factor, by first computing the column space of the output Hankel matrix using singular value decomposition (SVD), and then solving a least squares problem also resorting to an SVD. The performance of the proposed algorithm is illustrated through a simulation example.
ISSN:1551-2541
2378-928X
DOI:10.1109/MLSP.2006.275529