Iterated Maximum Mixture Correntropy Kalman Filter and Its Applications in Tracking and Navigation
Author:
Affiliation:
1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7361/10660640/10614099.pdf?arnumber=10614099
Reference51 articles.
1. GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State Estimation
2. A Hypothesis Test-Constrained Robust Kalman Filter for INS/GNSS Integration With Abnormal Measurement
3. A New Adaptive Extended Kalman Filter for Cooperative Localization
4. Kalman Filter Fusion With Smoothing for a Process With Continuous-Time Integrated Sensor
5. A Gaussian Mixture Unscented Rauch–Tung–Striebel Smoothing Framework for Trajectory Reconstruction
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