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- W1998859425 abstract "The Cramer-Rao Lower Bound establishes a fundamental performance baseline for gauging parameter estimation accuracy in tracking and data fusion. However, it is known to be a weak lower bound for some problems. This paper presents a set of tighter alternatives: the Bhattacharyya, Bobrovsky-Zakai and Weiss-Weinstein lower bounds. General mathematical expressions are obtained for these bounds and their calculation is described. Then the bounds are applied to a nonlinear/non-Gaussian estimation problem. It is found that the alternative bounds are tighter than the Cramer-Rao bound, but they are still somewhat conservative." @default.
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- W1998859425 date "2005-01-01" @default.
- W1998859425 modified "2023-10-16" @default.
- W1998859425 title "Tighter alternatives to the Cramer-Rao lower bound for discrete-time filtering" @default.
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- W1998859425 doi "https://doi.org/10.1109/icif.2005.1591842" @default.
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