Blind deconvolution of dynamical systems using a balanced parameterized state space approach

A. C. Tsoi, University of Wollongong
L. S. Ma, University of Wollongong

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This paper originally appeared as: Tsoi, AC & Ma, LS, Blind deconvolution of dynamical systems using a balanced parameterized state space approach, Proceedings, IEEE International Conference on Acoustics, Speech, and Signal Processing, 6-10 April 2003, 4, 309-312. Copyright IEEE 2003.

Abstract

In this paper, the problem of blind deconvolution of dynamical systems is considered using a state space approach. A balanced parameterized canonical form is used as a model for the underlying dynamical system instead of the more common controller or observable canonical form. The results are compared with those obtained using a controller canonical form. It is shown experimentally that using the balanced parameterized canonical form is more robust than the ones using a controller canonical form.