Application of Gaussian Mixtures in a Multimodal Kalman Filter to Estimate the State of a Nonlinearly Moving System Using Sparse Inaccurate Measurements in a Cellular Radio Network.
Artjom LindShan WuAmnir HadachiPublished in: Sensors (2023)
Keyphrases
- kalman filter
- state estimation
- gaussian mixture
- kalman filtering
- object tracking
- update equations
- state space model
- computer vision
- extended kalman filter
- closed form
- gaussian mixture model
- em algorithm
- data sets
- covariance matrix
- probability density function
- particle filtering
- state space
- optimal solution
- feature extraction