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- W886331564 abstract "Based on the single sensor Kalman filtering equations, this paper presents two-level and three-level optimal centralized and distributed estimation algorithms for hierarchical multisensor systems. The solution shows that when the correlated matrix, the mean of noise, the control input, and the measurement error are all zero, the result in this paper tums out to be the standard algorithm discussed. Simulation shows that the mean of noise, the control input, and the measurement error will not change the estimation covariance and the estimation covariance fluctuates greatly when the cross-correlated matrix is similar to the covariance of process noise." @default.
- W886331564 created "2016-06-24" @default.
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- W886331564 date "2003-01-01" @default.
- W886331564 modified "2023-09-26" @default.
- W886331564 title "State Fusion Estimation for Multilevel Multisensor System" @default.
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