VB-Based Gaussian Sum Cubature Kalman Filter for Adaptive Estimation of Unknown Delay and Loss Probability
The traditional Kalman filter assumes that all measurements can be obtained in real time, which is invalid in practical engineering. Therefore, a variational Bayesian- (VB-) based Gaussian sum cubature Kalman filter is proposed to solve the nonlinear tracking problem of multistep random measurement...
| 發表在: | International Journal of Aerospace Engineering |
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| Main Authors: | , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Wiley
2024-01-01
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| 在線閱讀: | http://dx.doi.org/10.1155/2024/5599144 |