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Parameter estimation in the presence of bounded modeling errors

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4 Author(s)
Chandrasekaran, S. ; Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA ; Golub, G.H. ; Gu, M. ; Sayed, A.H.

We formulate and solve a new parameter estimation problem in the presence of bounded data uncertainties. The new method is suitable when a priori bounds on the uncertain data are available; its solution guarantees that the effect of the uncertainties will never be unnecessarily overestimated beyond what is reasonably assumed by the a priori bounds.

Published in:

Signal Processing Letters, IEEE  (Volume:4 ,  Issue: 7 )