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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    Titel :

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


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Li, Zhao (Autor:in) / Wang, Yidi (Autor:in) / Zheng, Wei (Autor:in)


    Erscheinungsdatum :

    30.10.2021


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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