Distributed state estimation algorithm plays a key role in target tracking via sensor networks. This paper proposes a consensus-based unbiased converted measurement information filter for target tracking in a space-based radar network. The proposed filter can fulfill the distributed estimation for non-linear systems with the aid of a consensus strategy, and can linearizing the measurement equation by employing the unbiased measurement conversion method. The performance of the proposed filter is investigated by considering a low Earth orbit target tracking problem. The simulation results show that the proposed algorithm outperforms the traditional consensus-based distributed state estimation method in aspect of convergence rate. Also, the impact of measurement errors on the accuracy of the proposed method is researched.


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    Title :

    Consensus-Based Unbiased Converted Measurement Information Filter for Space Target Tracking


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Li, Zhao (author) / Wang, Yidi (author) / Zheng, Wei (author)


    Publication date :

    2021-10-30


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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