Design of a High-Order Kalman Filter for State and Measurement of A Class of Nonlinear Systems Based on Kronecker Product Augmented Dimension.
Deyan PengChenglin WenMeilei LvPublished in: Sensors (2023)
Keyphrases
- high order
- kalman filter
- state estimation
- kalman filtering
- kronecker product
- class of nonlinear systems
- higher order
- pairwise
- target tracking
- low order
- object tracking
- state space model
- reduced order model
- bayesian filtering
- update equations
- particle filter
- sigma delta
- data sets
- bayesian logistic regression
- lower order
- extended kalman filter
- feature vectors
- artificial neural networks
- machine learning
- neural network