Information Fusion Estimation for Nonlinear Systems with Multiplicative Noise
- Resource Type
- Conference
- Authors
- Cui, Yongpeng; Sun, Xiaojun; Wang, Guanran
- Source
- 2023 China Automation Congress (CAC) Automation Congress (CAC), 2023 China. :274-279 Nov, 2023
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Parameter estimation
Automation
Estimation
Filtering algorithms
Information filters
Mathematical models
Kalman filters
Multiplicative noise
Extended Kalman filtering
Multi-sensor systems
Distributed fusion
State estimation
- Language
- ISSN
- 2688-0938
This paper investigates the distributed information fusion estimation problem for non-linear systems with multiplicative noise in multi-sensor systems. The paper uses virtual states with virtual process noise and designs one-step predictors and state update equations for the virtual conditions. An extended Kalman estimator with a forgetting factor is applied to optimize the valuation of each sensor for the non-linear system. matrix-weighted is used in the fusion process and compared to verify the optimization of the state valuation by adding the forgetting factor to the filtering process.