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- W4310609311 abstract "Minimax Gaussian mixture particle filtering (MGPF) is developed for nonlinear non-Gaussian estimation in this paper. The minimax strategy is adopted to approximate the modified prior. Then, the latest spatial measurement and temporal evolution are introduced into the establishment of minimax Gaussian mixture importance distribution for PF, so as to update and correct the importance samples. Simulation results show the effectiveness of the proposed method." @default.
- W4310609311 created "2022-12-13" @default.
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- W4310609311 date "2022-10-21" @default.
- W4310609311 modified "2023-09-24" @default.
- W4310609311 title "Minimax Gaussian Mixture Particle Filtering" @default.
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- W4310609311 doi "https://doi.org/10.1109/icsp56322.2022.9965297" @default.
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