Nonlinear weighted measurement fusion unscented Kalman filter with asymptotic optimality

DOI10.1016/j.ins.2014.12.013zbMath1360.93697OpenAlexW2086349213MaRDI QIDQ528698

Gang Hao, Yun Li, Shu-Li Sun

Publication date: 16 May 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.12.013

zbMATH Keywords

nonlinear systemasymptotic optimalityTaylor series expansionunscented Kalman filterweighted measurement fusion

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10)

Related Items (7)

Optimal recursive estimation for networked stochastic uncertain systems with fading measurements and time-correlated channel noises ⋮ Distributed nonlinear Kalman filter with communication protocol ⋮ Distributed adaptive cubature information filtering for bounded noise system in wireless sensor networks ⋮ Robust estimation algorithm based on prior probability statistics ⋮ State estimation-based robust optimal control of influenza epidemics in an interactive human society ⋮ Distributed fusion cubature Kalman filters for nonlinear systems ⋮ An adaptive cubature Kalman filter for nonlinear systems against randomly occurring injection attacks

Cites Work

• Unnamed Item
• Unnamed Item
• Self-tuning weighted measurement fusion Kalman filtering algorithm
• Sequential covariance intersection fusion Kalman filter
• \(H_\infty\) filtering of networked discrete-time systems with random packet losses
• Multi-sensor optimal information fusion Kalman filter
• High-degree cubature Kalman filter
• The observer follower filter: a new approach to nonlinear suboptimal filtering
• Truncation nonlinear filters for state estimation with nonlinear inequality constraints
• Sensors' optimal dimensionality compression matrix in estimation fusion
• Sequential Monte Carlo Methods in Practice
• Optimal linear estimation fusion. I. Unified fusion rules
• Decentralized structures for parallel Kalman filtering
• On the track-to-track correlation problem
• Likelihood Consensus and Its Application to Distributed Particle Filtering
• Filtering for Discrete-Time Networked Nonlinear Systems With Mixed Random Delays and Packet Dropouts
• Optimal Linear Filters for Discrete-Time Systems With Randomly Delayed and Lost Measurements With/Without Time Stamps
• Optimal dimensionality reduction of sensor data in multisensor estimation fusion

This page was built for publication: Nonlinear weighted measurement fusion unscented Kalman filter with asymptotic optimality