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)

引用 15|浏览10
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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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