Title :
Optimal Cramer-Rao estimators for dimensions greater than two
Author_Institution :
Seeker Div., MBDA Italia S.p.A., Rome, Italy
Abstract :
We prove a theorem for a three-dimensional Fisher-Rao information matrix that a set of optimal estimators can be found, in the Cramer-Rao sense, provided we are able to reduce the matrix to the identity almost everywhere. This amounts to solve Einstein equations in three dimensions. This theorem generalizes a preceding one obtained for two dimensions.
Keywords :
geometry; information theory; Cramer-Rao sense; Einstein equations; dimensional Fisher-Rao information matrix; optimal Cramer-Rao estimators; Cramer-Rao bounds; Equations; Information geometry; Measurement; Radar; Tensile stress;
Conference_Titel :
Radar Symposium (IRS), 2011 Proceedings International
Conference_Location :
Leipzig
Print_ISBN :
978-1-4577-0138-2