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

Publication Year:
2003
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Repository URL:
https://ro.uow.edu.au/infopapers/101
Author(s):
Tsoi, Ah Chung; Ma, L. S.
Tags:
blind source separation deconvolution; parameter estimation; state-space methods; Physical Sciences and Mathematics
lecture / presentation description
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.