Electronics Optics & Control, Volume. 32, Issue 5, 1(2025)

A Maneuvering Target Tracking Algorithm Based on AIMM-CKF

WANG Wei1, GONG Shuli1, and LI Xiaoming2
Author Affiliations
  • 1College of Civil Aviation, Nanjing University of Aeronautics & Astronautics, Nanjing 211000, China
  • 2Aerospace Times Feihong Technology Company, Ltd. , Beijing 100000, China
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    References(7)

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    [9] [9] ZHANG Z, GUO H W, HE J X, et al. Adaptive interactive multiple model target tracking algorithm based on Markov matrix with acceleration correction factor[C]//2022 China Automation Congress (CAC). Xiamen: IEEE, 2022: 3227-3232.

    [10] [10] LI X H, LU B, LI Y X, et al. Adaptive interacting multiple model for underwater maneuvering target tracking with one-step randomly delayed measurements[J]. Ocean Engineering, 2023, 280. doi:10.1016/j.oceaneng.2023.114933.

    [12] [12] EINICKE G A, WHITE L B. Robust extended Kalman filtering[J]. IEEE Transaction on Signal Processing, 1999, 47(9): 2596-2599.

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    [14] [14] ARASARATNAM I, HAYKIN S. Cubature Kalman filters[J]. IEEE Transaction on Automatic Control, 2009, 54(6): 1254-1269.

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    WANG Wei, GONG Shuli, LI Xiaoming. A Maneuvering Target Tracking Algorithm Based on AIMM-CKF[J]. Electronics Optics & Control, 2025, 32(5): 1

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    Paper Information

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    Received: Mar. 21, 2024

    Accepted: May. 13, 2025

    Published Online: May. 13, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.05.001

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