An adaptive Kalman filtering algorithm based on maximum likelihood estimation
Z Wang, J Cheng, B Qi, S Cheng… - … Science and Technology, 2023 - iopscience.iop.org
Traditional adaptive Kalman filtering algorithms based on innovation are often used to solve
the problem of reduced or even divergent filtering estimation accuracy under abnormal …
the problem of reduced or even divergent filtering estimation accuracy under abnormal …
An adaptive Kalman filtering algorithm based on maximum likelihood estimation
Z Wang, J Cheng, B Qi, S Cheng… - Measurement Science …, 2023 - ui.adsabs.harvard.edu
Traditional adaptive Kalman filtering algorithms based on innovation are often used to solve
the problem of reduced or even divergent filtering estimation accuracy under abnormal …
the problem of reduced or even divergent filtering estimation accuracy under abnormal …