An Improved Posteriori Variance-Covariance Components Estimation Applied to Unconventional GPS and Multiple Low-Cost Imus Integration Strategy
Meliorating a priori stochastic model of Kalman filer (KF) is always challenging. To address this challenge, this paper simultaneously estimates and corrects the variance components for all of the process noise and measurement matrix (Q & R) by a posteriori variance-covariance components est...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8840903/ |