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Application of constrained optimization⁃based adaptive fading memory square root mixed⁃order cubature particle filtering in SINS/GNSS integrated navigation
更新时间：2025-05-26

    • Application of constrained optimization⁃based adaptive fading memory square root mixed⁃order cubature particle filtering in SINS/GNSS integrated navigation

    • “The latest research proposes an adaptive decay memory square root mixed order spherical simplex radial volume particle filtering algorithm, which effectively improves the filtering accuracy and robustness of SINS/GNSS integrated navigation systems.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 12, Pages: 3660-3672(2024)
    • 作者机构：

      哈尔滨工程大学 智能科学与工程学院，哈尔滨 150001

    • DOI：10.13229/j.cnki.jdxbgxb.20230847    

      CLC： TP2

    • Received：27 July 2023，

      Published：01 December 2024

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  • WANG Ning,LIU Fan-ming.Application of constrained optimization⁃based adaptive fading memory square root mixed⁃order cubature particle filtering in SINS/GNSS integrated navigation[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(12):3660-3672. DOI： 10.13229/j.cnki.jdxbgxb.20230847.

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