Minimax Gaussian Mixture Particle Filtering
Author:
Affiliation:
1. Sun Yat-sen University,Shenzhen,School of Aeronautics and Astronautics,China Nanjing,China,210012
Funder
Sun Yat-sen University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9964480/9964481/09965297.pdf?arnumber=9965297
Reference20 articles.
1. Constrained auxiliary particle filtering for bearings-only maneuvering target tracking[J];zhang;Journal of Systems Engineering and Electronics,2019
2. Particle Filtering With Soft State Constraints for Target Tracking
3. Multiple importance unscented Kalman filtering with soft spatiotemporal constraint for multi?passive?sensor target tracking[J];zhang;International Journal of Robust and Nonlinear Control,2022
4. Interactive-Multiple-Model Algorithm Based on Minimax Particle Filtering
5. Rao–Blackwellized Gaussian Smoothing
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