Xiuhui Diao1, Pengfei Wang1,2,*, Weidong Li2, Xianwu Chu2, Yunming Wang2
CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1795-1812, 2024, DOI:10.32604/cmes.2023.030008
Abstract To solve the problem of data fusion for prior information such as track information and train status in train positioning, an adaptive H∞ filtering algorithm with combination constraint is proposed, which fuses prior information with other sensor information in the form of constraints. Firstly, the train precise track constraint method of the train is proposed, and the plane position constraint and train motion state constraints are analysed. A model for combining prior information with constraints is established. Then an adaptive H∞ filter with combination constraints is derived based on the adaptive adjustment method of the robustness factor. Finally, the positioning… More >
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