A novel matrix block algorithm based on cubature transformation fusing variational Bayesian scheme for position estimation applied to MEMS navigation system
Mechanical Systems and Signal Processing(2022)
摘要
•The position information is augmented to acquire high accuracy state estimation.•Accurate measurement noise and predicted error covariance matrices are estimated.•The proposed MB-CVB uses multi-model method to improve the algebraic precision.
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关键词
MEMS sensor,Inertial navigation system,Cubature Kalman filter,Underwater navigation,Variational Bayesians
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