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Volume 10 Issue 3
Mar.  2023

IEEE/CAA Journal of Automatica Sinica

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Y. C. Li, W. B. Yu, and X. P. Guan, “Current-aided multiple-AUV cooperative localization and target tracking in anchor-free environments,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 792–806, Mar. 2023. doi: 10.1109/JAS.2022.105989
Citation: Y. C. Li, W. B. Yu, and X. P. Guan, “Current-aided multiple-AUV cooperative localization and target tracking in anchor-free environments,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 792–806, Mar. 2023. doi: 10.1109/JAS.2022.105989

Current-Aided Multiple-AUV Cooperative Localization and Target Tracking in Anchor-Free Environments

doi: 10.1109/JAS.2022.105989
Funds:  This work was supported in part by the National Natural Science Foundation of China (62203299, 61773264, 61922058, 61803261, 61801295), the Oceanic Interdisciplinary Program of Shanghai Jiao Tong University (SL2020ZD206, SL2020MS010, SL2020MS015)
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  • In anchor-free environments, where no devices with known positions are available, the error growth of autonomous underwater vehicle (AUV) localization and target tracking is unbounded due to the lack of references and the accumulated errors in inertial measurements. This paper aims to improve the localization and tracking accuracy by involving current information as extra references. We first integrate current measurements and maps with belief propagation and design a distributed current-aided message-passing scheme that theoretically solves the localization and tracking problems. Based on this scheme, we propose particle-based cooperative localization and target tracking algorithms, named CaCL and CaTT, respectively. In AUV localization, CaCL uses the current measurements to correct the predicted and transmitted position information and alleviates the impact of the accumulated errors in inertial measurements. With target tracking, the current maps are applied in CaTT to modify the position prediction of the target which is calculated through historical estimates. The effectiveness and robustness of the proposed methods are validated through various simulations by comparisons with alternative methods under different trajectories and current conditions.

     

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    Highlights

    • A distributed current-aided belief propagation message-passing scheme is designed for multi-AUV cooperative localization and target tracking
    • Current-aided cooperative localization alleviates the impact of the accumulated errors in inertial measurements and improves localization accuracy in the absence of anchors
    • Improved prediction accuracy for the noncooperative target tracking is achieved with the help of current maps and is with good adaptability to different target motions and map qualities

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