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- W2384684564 abstract "A modified recursive Cramer-Rao lower bound(CRLB) of the statistical estimation error variance is derived for the state estimation with incomplete and stochastic-biased measurement sequences. Firstly, a mathematical model of the discrete-time system with incomplete and stochastic-biased measurements is built; and then, the enumeration CRLB and the statistical CRLB are derived, respectively. The proposed statistical CRLB is a lower bound of the enumeration CRLB, but its calculation complexity is far lower than that of the enumeration CRLB. Simulation is performed in an optical-electrical tracking system with pre-specified detection probability and biased occurrence probability." @default.
- W2384684564 created "2016-06-24" @default.
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- W2384684564 date "2010-01-01" @default.
- W2384684564 modified "2023-09-24" @default.
- W2384684564 title "Cramér-Rao lower bounds for stochastic-bias discrete-time system with incomplete measurements" @default.
- W2384684564 hasPublicationYear "2010" @default.
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